2019
Tsitseklis, Konstantinos; Kakkavas, Grigorios; Karyotis, Vasileios; Papavassiliou, Symeon
A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks Proceedings Article
In: 2019 IEEE 44th Conference on Local Computer Networks (LCN), pp. 185–192, IEEE 2019.
BibTeX | Tags:
@inproceedings{tsitseklis2019realistic,
title = {A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks},
author = {Konstantinos Tsitseklis and Grigorios Kakkavas and Vasileios Karyotis and Symeon Papavassiliou},
year = {2019},
date = {2019-01-01},
booktitle = {2019 IEEE 44th Conference on Local Computer Networks (LCN)},
pages = {185--192},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lessi, Christina; Doukoglou, Tilemachos; Gezerlis, Velissarios; Verrios, Panayiotis; Georgiou, Andonis; Tzalas, Konstantinos; Diamanti, Maria; Kakkavas, Grigoris; Stamou, Adamantia; Karyotis, Vasileios; others,
Christina Lessi (Editor),“D2. 1 Use Case Description and Scenario Analysis,” 5G-HEART Project, Deliverable D2. 1. Journal Article
In: 2019.
BibTeX | Tags:
@article{lessi2019christina,
title = {Christina Lessi (Editor),“D2. 1 Use Case Description and Scenario Analysis,” 5G-HEART Project, Deliverable D2. 1.},
author = {Christina Lessi and Tilemachos Doukoglou and Velissarios Gezerlis and Panayiotis Verrios and Andonis Georgiou and Konstantinos Tzalas and Maria Diamanti and Grigoris Kakkavas and Adamantia Stamou and Vasileios Karyotis and others},
year = {2019},
date = {2019-01-01},
publisher = {CORDIS-European Commission},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tsitseklis, K.; Kakkavas, G.; Karyotis, V.; Papavassiliou, S.
A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks Conference
vol. 2019-October, IEEE Computer Society, 2019, ISBN: 9781728110288, (cited By 0; Conference of 44th Annual IEEE Conference on Local Computer Networks, LCN 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:157724).
Abstract | Links | BibTeX | Tags: Cognitive radio, Cognitive radio network; Cross-layer design; Distributed computations; Experimental evaluation; Parallel implementations; Research and development; Software defined radio technologies; Software-defined radios, Computer networks; Magnetorheological fluids; Markov processes; Open source software; Radio; Radio receivers; Radio systems; Resource allocation; Software radio; Structural frames; Testbeds
@conference{Tsitseklis2019185,
title = {A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks},
author = {K. Tsitseklis and G. Kakkavas and V. Karyotis and S. Papavassiliou},
editor = {Oteafy S. Tan H.-P. Andersson K.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080939926&doi=10.1109%2fLCN44214.2019.8990725&partnerID=40&md5=5ece1109bea717561dba60bfdc872500},
doi = {10.1109/LCN44214.2019.8990725},
isbn = {9781728110288},
year = {2019},
date = {2019-01-01},
journal = {Proceedings - Conference on Local Computer Networks, LCN},
volume = {2019-October},
pages = {185-192},
publisher = {IEEE Computer Society},
abstract = {In this paper, we focus on the development and realistic evaluation of a resource allocation approach for cognitive radios implemented with Software Defined Radio (SDR) technology over two testbeds of the ORCA federation. Our cross-layer approach is based on a Markov Random Field (MRF) framework realizing a distributed computation among the secondary nodes of cognitive radios. This is the first implementation and real experimental evaluation of such a mechanism. New SDR functions for implementing various cognitive radio functionalities, such as spectrum sensing, distributed node synchronization, etc., were developed in GNU Radio from scratch. We demonstrated the feasibility of the MRF-based resource allocation approach and quantified various performance metrics of interest, such as allocation fairness and collision percentage. Through this development, several design principles of broader interest for SDR emerged (e.g., for spectrum sensing and collision detection design), while salient features of our framework requiring further research and development were discovered (e.g., need for parallel implementation). © 2019 IEEE.},
note = {cited By 0; Conference of 44th Annual IEEE Conference on Local Computer Networks, LCN 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:157724},
keywords = {Cognitive radio, Cognitive radio network; Cross-layer design; Distributed computations; Experimental evaluation; Parallel implementations; Research and development; Software defined radio technologies; Software-defined radios, Computer networks; Magnetorheological fluids; Markov processes; Open source software; Radio; Radio receivers; Radio systems; Resource allocation; Software radio; Structural frames; Testbeds},
pubstate = {published},
tppubtype = {conference}
}
Karyotis, V.
A Markov Random Field Framework for Modeling Malware Propagation in Complex Communications Networks Journal Article
In: IEEE Transactions on Dependable and Secure Computing, vol. 16, no. 4, pp. 551-564, 2019, ISSN: 15455971, (cited By 10).
Abstract | Links | BibTeX | Tags: Complex networks; Image segmentation; Magnetorheological fluids; Markov processes; Simulated annealing; Stochastic systems; Structural frames, Gibbs sampling; Malware propagation; Markov Random Fields; Network robustness; Network science, Malware
@article{Karyotis2019551,
title = {A Markov Random Field Framework for Modeling Malware Propagation in Complex Communications Networks},
author = {V. Karyotis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068941002&doi=10.1109%2fTDSC.2017.2703622&partnerID=40&md5=2eaddbe72ca542b6f71f846ca8250533},
doi = {10.1109/TDSC.2017.2703622},
issn = {15455971},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Dependable and Secure Computing},
volume = {16},
number = {4},
pages = {551-564},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The proliferation of complex communication networks (CCNs) and their importance for maintaining social coherency nowadays have urgently elevated the need for protecting networking infrastructures from malicious software attacks. In this paper, we propose a Markov Random Field (MRF) based spatio-stochastic framework for modeling the macroscopic behavior of a CCN under random attack, where malicious threats propagate through direct interactions and follow the Susceptible-Infected-Susceptible infection paradigm. We exploit the MRF framework for analytically studying the propagation dynamics in various types of CCNs, i.e., lattice, random, scale-free, small-world and multihop graphs, in a holistic manner. By combining Gibbs sampling with simulated annealing, we study the behavior of the above systems for various topological and malware related parameters with respect to the general random attacks considered. We demonstrate the effectiveness of the MRF framework in capturing the evolution of SIS malware propagation and use it to assess the robustness of synthetic and real CCNs with respect to the involved parameters. It is found that random networks are more robust, followed by scale-free, regular and small-world, while multihop emerge as the most vulnerable of all. © 2004-2012 IEEE.},
note = {cited By 10},
keywords = {Complex networks; Image segmentation; Magnetorheological fluids; Markov processes; Simulated annealing; Stochastic systems; Structural frames, Gibbs sampling; Malware propagation; Markov Random Fields; Network robustness; Network science, Malware},
pubstate = {published},
tppubtype = {article}
}
Vitoropoulou, M.; Karyotis, V.; Papavassiliou, S.
Sensing and monitoring of information diffusion in complex online social networks Journal Article
In: Peer-to-Peer Networking and Applications, vol. 12, no. 3, pp. 604-619, 2019, ISSN: 19366442, (cited By 6).
Abstract | Links | BibTeX | Tags: Biased random walk; Information diffusion; Information sensing; Network Monitoring; On-line social networks, Complex networks; Random processes; Topology, Social networking (online)
@article{Vitoropoulou2019604,
title = {Sensing and monitoring of information diffusion in complex online social networks},
author = {M. Vitoropoulou and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054326149&doi=10.1007%2fs12083-018-0684-7&partnerID=40&md5=390e817a3dd9238e84b5acc810114175},
doi = {10.1007/s12083-018-0684-7},
issn = {19366442},
year = {2019},
date = {2019-01-01},
journal = {Peer-to-Peer Networking and Applications},
volume = {12},
number = {3},
pages = {604-619},
publisher = {Springer New York LLC},
abstract = {Sensing and monitoring information diffusion in online social networks is a complex problem of prominent importance, typically requiring significant sensing resources to address it properly. In this paper, we propose an inference approach for an information diffusion process where information is considered to belong to different classes, characterized by different spreading dynamics and possibly different topical content. Our framework utilizes social network analysis metrics in order to reduce the sensing resources that would be required in an otherwise exhaustive approach, while employing statistical learning and probabilistic inference for maintaining the accuracy of information tracking, whenever needed. The proposed framework defines an edge coloring scheme, based on which it is possible to keep track of information diffusion. We assume that the latter spreads according to various biased random walks that represent the dynamics of the considered classes of information. We have employed learning for the inference of those cases where backtracking leads to multiple potential choices for information paths. We demonstrate the operation and efficacy of our approach in characteristic online social networks, such as distributed wireless (spatial) and scale-free (relational) topologies, and draw conclusions on the impact of topology on information spreading. Finally, we discuss the emerging trends applicable for each topology and provide broader guidelines on the suitability of the proposed information diffusion inference scheme for each network. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.},
note = {cited By 6},
keywords = {Biased random walk; Information diffusion; Information sensing; Network Monitoring; On-line social networks, Complex networks; Random processes; Topology, Social networking (online)},
pubstate = {published},
tppubtype = {article}
}
Stamou, A.; Kakkavas, G.; Tsitseklis, K.; Karyotis, V.; Papavassiliou, S.
Autonomic Network Management and cross-layer optimization in Software Defined radio environments Journal Article
In: Future Internet, vol. 11, no. 2, 2019, ISSN: 19995903, (cited By 10).
Abstract | Links | BibTeX | Tags: Analog circuits; Cognitive radio; Network function virtualization; Network management; Radio; Radio receivers; Resource allocation; Software defined networking; Testbeds; Transfer functions; Virtual reality, Autonomic network management; Cognitive radio networks (CRNs); Cross layer optimization; Cross layer resource allocations; Network re-configuration; Reconfiguration control; Software-defined radios; State-of-the-art technology, Software radio
@article{Stamou2019,
title = {Autonomic Network Management and cross-layer optimization in Software Defined radio environments},
author = {A. Stamou and G. Kakkavas and K. Tsitseklis and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061190116&doi=10.3390%2ffi11020037&partnerID=40&md5=458dca75a6acc2729e6c5b6043737655},
doi = {10.3390/fi11020037},
issn = {19995903},
year = {2019},
date = {2019-01-01},
journal = {Future Internet},
volume = {11},
number = {2},
publisher = {MDPI AG},
abstract = {The demand for Autonomic Network Management (ANM) and optimization is as intense as ever, even though significant research has been devoted towards this direction. This paper addresses such need in Software Defined (SDR) based Cognitive Radio Networks (CRNs). We propose a new framework forANMand network reconfiguration combining Software Defined Networks (SDN) with SDR via Network Function Virtualization (NFV) enabled Virtual Utility Functions (VUFs). This is the first approach combining ANM with SDR and SDN via NFV, demonstrating how these state-of-the-art technologies can be effectively combined to achieve reconfiguration flexibility, improved performance and efficient use of available resources. In order to show the feasibility of the proposed framework, we implemented its main functionalities in a cross-layer resource allocation mechanism for CRNs over real SDR testbeds provided by the Orchestration and Reconfiguration Control Architecture (ORCA) EU project. We demonstrate the efficacy of our framework, and based on the obtained results, we identify aspects that can be further investigated for improving the applicability and increasing performance of our broader framework. © 2019 by the authors.},
note = {cited By 10},
keywords = {Analog circuits; Cognitive radio; Network function virtualization; Network management; Radio; Radio receivers; Resource allocation; Software defined networking; Testbeds; Transfer functions; Virtual reality, Autonomic network management; Cognitive radio networks (CRNs); Cross layer optimization; Cross layer resource allocations; Network re-configuration; Reconfiguration control; Software-defined radios; State-of-the-art technology, Software radio},
pubstate = {published},
tppubtype = {article}
}
Karyotis, V.; Vitoropoulou, M.; Kalatzis, N.; Roussaki, I.; Papavassiliou, S.
Efficient and socio-aware recommendation approaches for bigdata networked systems Book
Institution of Engineering and Technology, 2019, ISBN: 9781785619755, (cited By 5).
Abstract | Links | BibTeX | Tags:
@book{Karyotis201941,
title = {Efficient and socio-aware recommendation approaches for bigdata networked systems},
author = {V. Karyotis and M. Vitoropoulou and N. Kalatzis and I. Roussaki and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099450309&doi=10.1049%2fPBPC035F_ch4&partnerID=40&md5=ae7b353bd55c8bdfc06d9fd8ea9177c1},
doi = {10.1049/PBPC035F_ch4},
isbn = {9781785619755},
year = {2019},
date = {2019-01-01},
journal = {Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust},
pages = {41-70},
publisher = {Institution of Engineering and Technology},
abstract = {In this chapter, we present several approaches designed for providing efficient recommendations in large web systems characterized by bigdata scales. The key feature of the considered approaches is that they all rely on different elements and properties of social/complex network analysis for addressing various deficiencies of legacy and current recommendation systems when very large operational scales emerge. The main challenges of recommendations addressed by the presented approaches are the diversity (novelty) of recommendations, the cold-start problem, scalability and noise filtering issues, as well as the efficiency of developing these approaches and integrating them in operational systems. This chapter aspires to provide an educated overview, leading to a solid fundamental background on how social/complex network analysis can be exploited for more effective recommendations in stringent environments characterized by large scales ofusers, items and associated data, cumulatively referred to as big network data. Furthermore, our work aims at highlighting the design principles that are more interesting for enabling the extension of the presented approaches and their combination with other current state-of-the-art techniques, thus leading to more socioaware and efficient recommendation approaches in the near and longer term future. © The Institution of Engineering and Technology 2020.},
note = {cited By 5},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Rey, Á. M. D.; Yang, L. -X.; Karyotis, V. A.
Mathematical models for malware propagation Journal Article
In: Security and Communication Networks, vol. 2019, 2019, ISSN: 19390114, (cited By 0).
@article{Rey2019,
title = {Mathematical models for malware propagation},
author = {Á. M. D. Rey and L. -X. Yang and V. A. Karyotis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060084175&doi=10.1155%2f2019%2f6046353&partnerID=40&md5=9219676dc581f3dae9893a149eab04c4},
doi = {10.1155/2019/6046353},
issn = {19390114},
year = {2019},
date = {2019-01-01},
journal = {Security and Communication Networks},
volume = {2019},
publisher = {Hindawi Limited},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pateli, A.; Lioukas, S.
How functional involvement affects the transformation of external knowledge into innovation outcomes Journal Article
In: R and D Management, vol. 49, no. 2, pp. 224-238, 2019, (cited By 16).
@article{Pateli2019224,
title = {How functional involvement affects the transformation of external knowledge into innovation outcomes},
author = {A. Pateli and S. Lioukas},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026368715&doi=10.1111%2fradm.12280&partnerID=40&md5=c78eaad9385faf3f5b3712e650287abc},
doi = {10.1111/radm.12280},
year = {2019},
date = {2019-01-01},
journal = {R and D Management},
volume = {49},
number = {2},
pages = {224-238},
note = {cited By 16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Kostagiolas, Petros A; Kourouthanassis, Panos E; Martzoukou, Konstantina; Korfiatis, Nikolaos; Niakas, Dimitrios
Information seeking behavioural paths of physicians for diabetes mellitus care: a qualitative comparative analysis of information needs, sources, and barriers Journal Article
In: Health Systems, vol. 7, no. 1, pp. 13–28, 2018.
BibTeX | Tags:
@article{kostagiolas2018information,
title = {Information seeking behavioural paths of physicians for diabetes mellitus care: a qualitative comparative analysis of information needs, sources, and barriers},
author = {Petros A Kostagiolas and Panos E Kourouthanassis and Konstantina Martzoukou and Nikolaos Korfiatis and Dimitrios Niakas},
year = {2018},
date = {2018-01-01},
journal = {Health Systems},
volume = {7},
number = {1},
pages = {13--28},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias; Kourouthanassis, Panos; Mikalef, Patrick; Giannakos, Michail
Combining system success factors with trust to explain e-government adoption using fsQCA Journal Article
In: 2018.
BibTeX | Tags:
@article{pappas2018combining,
title = {Combining system success factors with trust to explain e-government adoption using fsQCA},
author = {Ilias Pappas and Panos Kourouthanassis and Patrick Mikalef and Michail Giannakos},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, Eleni; Milaiou, Eirini; Karyotis, Vasileios; Papavassiliou, Symeon
Temporal dynamics of information diffusion in twitter: Modeling and experimentation Journal Article
In: IEEE Transactions on Computational Social Systems, vol. 5, no. 1, pp. 256–264, 2018.
BibTeX | Tags:
@article{stai2018temporal,
title = {Temporal dynamics of information diffusion in twitter: Modeling and experimentation},
author = {Eleni Stai and Eirini Milaiou and Vasileios Karyotis and Symeon Papavassiliou},
year = {2018},
date = {2018-01-01},
journal = {IEEE Transactions on Computational Social Systems},
volume = {5},
number = {1},
pages = {256--264},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karyotis, Vasileios; Tsitseklis, Konstantinos; Sotiropoulos, Konstantinos; Papavassiliou, Symeon
Big data clustering via community detection and hyperbolic network embedding in IoT applications Journal Article
In: Sensors, vol. 18, no. 4, pp. 1205, 2018.
BibTeX | Tags:
@article{karyotis2018big,
title = {Big data clustering via community detection and hyperbolic network embedding in IoT applications},
author = {Vasileios Karyotis and Konstantinos Tsitseklis and Konstantinos Sotiropoulos and Symeon Papavassiliou},
year = {2018},
date = {2018-01-01},
journal = {Sensors},
volume = {18},
number = {4},
pages = {1205},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karyotis, Vasileios; Tsitseklis, Konstantinos; Sotiropoulos, Konstantinos; Papavassiliou, Symeon
Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding Proceedings Article
In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 266–271, IEEE 2018.
BibTeX | Tags:
@inproceedings{karyotis2018enhancing,
title = {Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding},
author = {Vasileios Karyotis and Konstantinos Tsitseklis and Konstantinos Sotiropoulos and Symeon Papavassiliou},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)},
pages = {266--271},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Tsanikidis, Christos; Vitoropoulou, Margarita; Karyotis, Vasileios; Papavassiliou, Symeon
On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles Proceedings Article
In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 135–141, IEEE 2018.
BibTeX | Tags:
@inproceedings{tsanikidis2018energy,
title = {On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles},
author = {Christos Tsanikidis and Margarita Vitoropoulou and Vasileios Karyotis and Symeon Papavassiliou},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
pages = {135--141},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Karyotis, Vasileios; Avgeris, Marios; Michaloliakos, Michalis; Tsagkaris, Konstantinos; Papavassiliou, Symeon
Utility decisions for QoE-QoS driven applications in practical mobile broadband networks Proceedings Article
In: 2018 Global Information Infrastructure and Networking Symposium (GIIS), pp. 1–5, IEEE 2018.
BibTeX | Tags:
@inproceedings{karyotis2018utility,
title = {Utility decisions for QoE-QoS driven applications in practical mobile broadband networks},
author = {Vasileios Karyotis and Marios Avgeris and Michalis Michaloliakos and Konstantinos Tsagkaris and Symeon Papavassiliou},
year = {2018},
date = {2018-01-01},
booktitle = {2018 Global Information Infrastructure and Networking Symposium (GIIS)},
pages = {1--5},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stamolampros, P.; Korfiatis, N.
Exploring the behavioral drivers of review valence: The direct and indirect effects of multiple psychological distances Journal Article
In: International Journal of Contemporary Hospitality Management, vol. 30, no. 10, pp. 3083-3099, 2018, (cited By 30).
@article{Stamolampros20183083,
title = {Exploring the behavioral drivers of review valence: The direct and indirect effects of multiple psychological distances},
author = {P. Stamolampros and N. Korfiatis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053781813&doi=10.1108%2fIJCHM-04-2017-0239&partnerID=40&md5=3c5477911950017332b4b30d0f5ea67e},
doi = {10.1108/IJCHM-04-2017-0239},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Contemporary Hospitality Management},
volume = {30},
number = {10},
pages = {3083-3099},
note = {cited By 30},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chopdar, P. K.; Korfiatis, N.; Sivakumar, V. J.; Lytras, M. D.
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology Journal Article
In: Computers in Human Behavior, vol. 86, pp. 109-128, 2018, (cited By 272).
@article{Chopdar2018109,
title = {Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology},
author = {P. K. Chopdar and N. Korfiatis and V. J. Sivakumar and M. D. Lytras},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047471379&doi=10.1016%2fj.chb.2018.04.017&partnerID=40&md5=efa14f8ce95ef9855a4132624d441e6a},
doi = {10.1016/j.chb.2018.04.017},
year = {2018},
date = {2018-01-01},
journal = {Computers in Human Behavior},
volume = {86},
pages = {109-128},
note = {cited By 272},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Huang, G. -H.; Korfiatis, N.; Chang, C. -T.
Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation Journal Article
In: Journal of Business Research, vol. 85, pp. 165-174, 2018, (cited By 89).
@article{Huang2018165,
title = {Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation},
author = {G. -H. Huang and N. Korfiatis and C. -T. Chang},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039166777&doi=10.1016%2fj.jbusres.2017.12.008&partnerID=40&md5=dcfbaa0e2bb3f69d3568db71931a0ae0},
doi = {10.1016/j.jbusres.2017.12.008},
year = {2018},
date = {2018-01-01},
journal = {Journal of Business Research},
volume = {85},
pages = {165-174},
note = {cited By 89},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kostagiolas, P. A.; Kourouthanassis, P. E.; Martzoukou, K.; Korfiatis, N.; Niakas, D.
In: Health Systems, vol. 7, no. 1, pp. 13-28, 2018, (cited By 15).
@article{Kostagiolas201813,
title = {Information seeking behavioural paths of physicians for diabetes mellitus care: a qualitative comparative analysis of information needs, sources, and barriers},
author = {P. A. Kostagiolas and P. E. Kourouthanassis and K. Martzoukou and N. Korfiatis and D. Niakas},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062670775&doi=10.1080%2f20476965.2017.1390050&partnerID=40&md5=059b70f7e4fdbf73c8f3e70fe44d67a9},
doi = {10.1080/20476965.2017.1390050},
year = {2018},
date = {2018-01-01},
journal = {Health Systems},
volume = {7},
number = {1},
pages = {13-28},
note = {cited By 15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tsanikidis, C.; Vitoropoulou, M.; Karyotis, V.; Papavassiliou, S.
On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles Conference
vol. 2018-September, Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538660096, (cited By 0; Conference of 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 ; Conference Date: 9 September 2018 Through 12 September 2018; Conference Code:143803).
Abstract | Links | BibTeX | Tags: Analysis and simulation; Area coverages; Coverage problem; Energy-efficient coverages; Minimum coverage; Obstacles; Opaque obstacles; Topology control, Energy efficiency, Energy utilization; Internet of things; Radio communication; Smart city; Topology; Wireless sensor networks
@conference{Tsanikidis2018135,
title = {On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles},
author = {C. Tsanikidis and M. Vitoropoulou and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060539317&doi=10.1109%2fPIMRC.2018.8580878&partnerID=40&md5=d3a99b40001d185764422a49efa7cf7e},
doi = {10.1109/PIMRC.2018.8580878},
isbn = {9781538660096},
year = {2018},
date = {2018-01-01},
journal = {IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC},
volume = {2018-September},
pages = {135-141},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this paper we propose a topology control based approach for addressing the coverage problem in a planar region containing convex opaque obstacles. Such environments represent typical cases of realistic wireless sensor networks and Internet-of-Things deployments. Assuming the devices have the capability to modify their sensing ranges, our goal is to maximize the area covered by randomly dispersed sensors, while reducing their sensing energy consumption as much as possible despite the presence of convex obstacles. To address the former, we introduce a relevant framework capitalizing on the notion of the visibility polygon and propose two algorithms, a centralized (and a randomized version thereof) and a distributed one, which aim to maximize the ratio of covered area to consumed energy, while ensuring a minimum coverage percentage. Through analysis and simulation we demonstrate that the proposed schemes achieve energy efficient coverage, outperforming the plain assignment of maximum sensing range across the network. © 2018 IEEE.},
note = {cited By 0; Conference of 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 ; Conference Date: 9 September 2018 Through 12 September 2018; Conference Code:143803},
keywords = {Analysis and simulation; Area coverages; Coverage problem; Energy-efficient coverages; Minimum coverage; Obstacles; Opaque obstacles; Topology control, Energy efficiency, Energy utilization; Internet of things; Radio communication; Smart city; Topology; Wireless sensor networks},
pubstate = {published},
tppubtype = {conference}
}
Karyotis, V.; Tsitseklis, K.; Sotiropoulos, K.; Papavassiliou, S.
Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding Conference
Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538632277, (cited By 1; Conference of 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 ; Conference Date: 19 March 2018 Through 23 March 2018; Conference Code:140607).
Abstract | Links | BibTeX | Tags: Big data; Cluster analysis; Graph theory; Population dynamics; Sensor networks; Ubiquitous computing, Clustering algorithms, Community detection; Data clustering; Edge betweenness centrality; Hyperbolic networks; Newman algorithms; Rigel embedding
@conference{Karyotis2018266,
title = {Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding},
author = {V. Karyotis and K. Tsitseklis and K. Sotiropoulos and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056458909&doi=10.1109%2fPERCOMW.2018.8480134&partnerID=40&md5=082f7ba01a225e8ccef49047803f02bd},
doi = {10.1109/PERCOMW.2018.8480134},
isbn = {9781538632277},
year = {2018},
date = {2018-01-01},
journal = {2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018},
pages = {266-271},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this paper we present a novel big data clustering approach for measurements obtained from pervasive sensor networks. To address the potential very large scale of such datasets, we map the problem of data clustering to a community detection one. Datasets are cast in the form of graphs, representing the relations among individual observations and data clustering is mapped to node clustering (community detection) in the data graph. We propose a novel computational approach for enhancing the traditional Girvan-Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, making it possible to compute more efficiently the hyperbolic edge-betweenness centrality (HEBC) needed in the modified GN algorithm. This allows for more efficient clustering of the nodes of the data graph without significantly sacrificing accuracy. We demonstrate the efficacy of our approach with artificial network and data topologies, and real benchmark datasets. The proposed methodology can be used for efficient clustering of datasets obtained from massive pervasive smart city/building sensor networks, such as the FIESTA-IoT platform, and exploited in various applications such as lower-cost sensing. © 2018 IEEE.},
note = {cited By 1; Conference of 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 ; Conference Date: 19 March 2018 Through 23 March 2018; Conference Code:140607},
keywords = {Big data; Cluster analysis; Graph theory; Population dynamics; Sensor networks; Ubiquitous computing, Clustering algorithms, Community detection; Data clustering; Edge betweenness centrality; Hyperbolic networks; Newman algorithms; Rigel embedding},
pubstate = {published},
tppubtype = {conference}
}
Karyotis, V.; Tsitseklis, K.; Sotiropoulos, K.; Papavassiliou, S.
Big data clustering via community detection and hyperbolic network embedding in IoT applications Journal Article
In: Sensors (Switzerland), vol. 18, no. 4, 2018, ISSN: 14248220, (cited By 9).
Abstract | Links | BibTeX | Tags:
@article{Karyotis2018,
title = {Big data clustering via community detection and hyperbolic network embedding in IoT applications},
author = {V. Karyotis and K. Tsitseklis and K. Sotiropoulos and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045428827&doi=10.3390%2fs18041205&partnerID=40&md5=0f53454f4ddc5ba09779ce173c69b61f},
doi = {10.3390/s18041205},
issn = {14248220},
year = {2018},
date = {2018-01-01},
journal = {Sensors (Switzerland)},
volume = {18},
number = {4},
publisher = {MDPI AG},
abstract = {In this paper, we present a novel data clustering framework for big sensory data produced by IoT applications. Based on a network representation of the relations among multi-dimensional data, data clustering is mapped to node clustering over the produced data graphs. To address the potential very large scale of such datasets/graphs that test the limits of state-of-the-art approaches, we map the problem of data clustering to a community detection one over the corresponding data graphs. Specifically, we propose a novel computational approach for enhancing the traditional Girvan-Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, allowing more efficient computation of edge-betweenness centrality needed in the GN algorithm. This allows for more efficient clustering of the nodes of the data graph in terms of modularity, without sacrificing considerable accuracy. In order to study the operation of our approach with respect to enhancing GN community detection, we employ various representative types of artificial complex networks, such as scale-free, small-world and random geometric topologies, and frequently-employed benchmark datasets for demonstrating its efficacy in terms of data clustering via community detection. Furthermore, we provide a proof-of-concept evaluation by applying the proposed framework over multi-dimensional datasets obtained from an operational smart-city/building IoT infrastructure provided by the Federated Interoperable Semantic IoT/cloud Testbeds and Applications (FIESTA-IoT) testbed federation. It is shown that the proposed framework can be indeed used for community detection/data clustering and exploited in various other IoT applications, such as performing more energy-efficient smart-city/building sensing. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.},
note = {cited By 9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Milaiou, E.; Karyotis, V.; Papavassiliou, S.
Temporal Dynamics of Information Diffusion in Twitter: Modeling and Experimentation Journal Article
In: IEEE Transactions on Computational Social Systems, vol. 5, no. 1, pp. 256-264, 2018, ISSN: 2329924X, (cited By 40).
Abstract | Links | BibTeX | Tags: Adaptation models; Computational model; Epidemic modeling; Hashtags; Infection rates; Information propagation; Tagging; Twitter, Analytical models; Data structures; Dynamics; Epidemiology; Information dissemination; Mathematical models, Social networking (online)
@article{Stai2018256,
title = {Temporal Dynamics of Information Diffusion in Twitter: Modeling and Experimentation},
author = {E. Stai and E. Milaiou and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040913521&doi=10.1109%2fTCSS.2017.2784184&partnerID=40&md5=7974b86c93a772693bc3d1ec0fa67f3e},
doi = {10.1109/TCSS.2017.2784184},
issn = {2329924X},
year = {2018},
date = {2018-01-01},
journal = {IEEE Transactions on Computational Social Systems},
volume = {5},
number = {1},
pages = {256-264},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Twitter constitutes an accessible platform for studying and experimenting with the dynamics of information dissemination. By exploiting this and using real data, in this paper, we study the temporal dynamics of topic-specific information spread in Twitter, where we assume that each topic corresponds to a hashtag. We develop an epidemic model for information spread in Twitter and we validate it using real data for several hashtags chosen so as to cover a variety of characteristics. Contrary to the existing works in literature, which define the informed Twitter users as those who have produced/reproduced tweets with a specific hashtag, our model considers as informed a superset of Twitter users who have seen/produced/reproduced tweets with a specific hashtag. Thus, it does not underestimate the extent of information propagation in the network. The evaluation results indicate a satisfactory performance of the proposed epidemic model for all hashtag types examined; while more importantly, they allow studying the impact of several factors, such as the need of time-varying infection rates depending on the hashtag type. © 2014 IEEE.},
note = {cited By 40},
keywords = {Adaptation models; Computational model; Epidemic modeling; Hashtags; Infection rates; Information propagation; Tagging; Twitter, Analytical models; Data structures; Dynamics; Epidemiology; Information dissemination; Mathematical models, Social networking (online)},
pubstate = {published},
tppubtype = {article}
}
2017
Pappas, Ilias O; Kourouthanassis, Panos E; Giannakos, Michail N; Lekakos, George
The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach Journal Article
In: Telematics and Informatics, vol. 34, no. 5, pp. 730–742, 2017.
BibTeX | Tags:
@article{pappas2017interplay,
title = {The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach},
author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and George Lekakos},
year = {2017},
date = {2017-01-01},
journal = {Telematics and Informatics},
volume = {34},
number = {5},
pages = {730--742},
publisher = {Pergamon},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mikalef, Patrick; Kourouthanassis, Panos E; Pateli, Adamantia G
Online information search behaviour of physicians Journal Article
In: Health Information & Libraries Journal, vol. 34, no. 1, pp. 58–73, 2017.
BibTeX | Tags:
@article{mikalef2017online,
title = {Online information search behaviour of physicians},
author = {Patrick Mikalef and Panos E Kourouthanassis and Adamantia G Pateli},
year = {2017},
date = {2017-01-01},
journal = {Health Information & Libraries Journal},
volume = {34},
number = {1},
pages = {58--73},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, Panos E; Mikalef, Patrick; Pappas, Ilias O; Kostagiolas, Petros
Explaining travellers online information satisfaction: A complexity theory approach on information needs, barriers, sources and personal characteristics Journal Article
In: Information & Management, vol. 54, no. 6, pp. 814–824, 2017.
BibTeX | Tags:
@article{kourouthanassis2017explaining,
title = {Explaining travellers online information satisfaction: A complexity theory approach on information needs, barriers, sources and personal characteristics},
author = {Panos E Kourouthanassis and Patrick Mikalef and Ilias O Pappas and Petros Kostagiolas},
year = {2017},
date = {2017-01-01},
journal = {Information & Management},
volume = {54},
number = {6},
pages = {814--824},
publisher = {North-Holland},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Kourouthanassis, Panos E; Giannakos, Michail N; Chrissikopoulos, Vassilios
Sense and sensibility in personalized e-commerce: How emotions rebalance the purchase intentions of persuaded customers Journal Article
In: Psychology & Marketing, vol. 34, no. 10, pp. 972–986, 2017.
BibTeX | Tags:
@article{pappas2017sense,
title = {Sense and sensibility in personalized e-commerce: How emotions rebalance the purchase intentions of persuaded customers},
author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},
year = {2017},
date = {2017-01-01},
journal = {Psychology & Marketing},
volume = {34},
number = {10},
pages = {972--986},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Kourouthanassis, Panos E; Papavlasopoulou, Sofia; Chrissikopoulos, Vassilios
Emotions in Motion: The Combined Effect of Positive and Negative Emotions on Personalised E-Commerce Journal Article
In: International Journal of Online Marketing (IJOM), vol. 7, no. 1, pp. 64–78, 2017.
BibTeX | Tags:
@article{pappas2017emotions,
title = {Emotions in Motion: The Combined Effect of Positive and Negative Emotions on Personalised E-Commerce},
author = {Ilias O Pappas and Panos E Kourouthanassis and Sofia Papavlasopoulou and Vassilios Chrissikopoulos},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Online Marketing (IJOM)},
volume = {7},
number = {1},
pages = {64--78},
publisher = {IGI Global},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Mikalef, Patrick; Kourouthanassis, Panos; Giannakos, Michail N
Fuzzy-set analysis to understand user experience in mobile applications Journal Article
In: 2017.
BibTeX | Tags:
@article{pappas2017fuzzy,
title = {Fuzzy-set analysis to understand user experience in mobile applications},
author = {Ilias O Pappas and Patrick Mikalef and Panos Kourouthanassis and Michail N Giannakos},
year = {2017},
date = {2017-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Papavlasopoulou, Sofia; Kourouthanassis, Panos E; Mikalef, Patrick; Giannakos, Michail N
Motivations and emotions in social media: explaining users’ satisfaction with FsQCA Proceedings Article
In: Digital Nations--Smart Cities, Innovation, and Sustainability: 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Delhi, India, November 21--23, 2017, Proceedings 16, pp. 375–387, Springer International Publishing 2017.
BibTeX | Tags:
@inproceedings{pappas2017motivations,
title = {Motivations and emotions in social media: explaining users’ satisfaction with FsQCA},
author = {Ilias O Pappas and Sofia Papavlasopoulou and Panos E Kourouthanassis and Patrick Mikalef and Michail N Giannakos},
year = {2017},
date = {2017-01-01},
booktitle = {Digital Nations--Smart Cities, Innovation, and Sustainability: 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Delhi, India, November 21--23, 2017, Proceedings 16},
pages = {375--387},
organization = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Russo, Fabrizio
Performance evaluation of non-local means (NLM) algorithms for grayscale image denoising Proceedings Article
In: 2017 European Conference on Electrical Engineering and Computer Science (EECS), pp. 204–210, IEEE 2017.
BibTeX | Tags:
@inproceedings{russo2017performance,
title = {Performance evaluation of non-local means (NLM) algorithms for grayscale image denoising},
author = {Fabrizio Russo},
year = {2017},
date = {2017-01-01},
booktitle = {2017 European Conference on Electrical Engineering and Computer Science (EECS)},
pages = {204--210},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stai, Eleni; Karyotis, Vasileios; Bitsaki, Antonia-Chrysanthi; Papavassiliou, Symeon
Strategy evolution of information diffusion under time-varying user behavior in generalized networks Journal Article
In: Computer Communications, vol. 100, pp. 91–103, 2017.
BibTeX | Tags:
@article{stai2017strategy,
title = {Strategy evolution of information diffusion under time-varying user behavior in generalized networks},
author = {Eleni Stai and Vasileios Karyotis and Antonia-Chrysanthi Bitsaki and Symeon Papavassiliou},
year = {2017},
date = {2017-01-01},
journal = {Computer Communications},
volume = {100},
pages = {91--103},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, Eleni; Sotiropoulos, Konstantinos; Karyotis, Vasileios; Papavassiliou, Symeon
Hyperbolic embedding for efficient computation of path centralities and adaptive routing in large-scale complex commodity networks Journal Article
In: IEEE Transactions on Network Science and Engineering, vol. 4, no. 3, pp. 140–153, 2017.
BibTeX | Tags:
@article{stai2017hyperbolic,
title = {Hyperbolic embedding for efficient computation of path centralities and adaptive routing in large-scale complex commodity networks},
author = {Eleni Stai and Konstantinos Sotiropoulos and Vasileios Karyotis and Symeon Papavassiliou},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Network Science and Engineering},
volume = {4},
number = {3},
pages = {140--153},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karyotis, Vasileios
A Markov random field framework for modeling malware propagation in complex communications networks Journal Article
In: IEEE Transactions on Dependable and Secure Computing, vol. 16, no. 4, pp. 551–564, 2017.
BibTeX | Tags:
@article{karyotis2017markov,
title = {A Markov random field framework for modeling malware propagation in complex communications networks},
author = {Vasileios Karyotis},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Dependable and Secure Computing},
volume = {16},
number = {4},
pages = {551--564},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Papadis, Nikolaos; Stai, Eleni; Karyotis, Vasileios
A path-based recommendations approach for online systems via hyperbolic network embedding Proceedings Article
In: 2017 IEEE Symposium on Computers and Communications (ISCC), pp. 973–980, IEEE 2017.
BibTeX | Tags:
@inproceedings{papadis2017path,
title = {A path-based recommendations approach for online systems via hyperbolic network embedding},
author = {Nikolaos Papadis and Eleni Stai and Vasileios Karyotis},
year = {2017},
date = {2017-01-01},
booktitle = {2017 IEEE Symposium on Computers and Communications (ISCC)},
pages = {973--980},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Karyotis, Vasileios; Stai, Eleni
Hyperbolic Big Data Analytics for Dynamic Network Management and Optimization Book Section
In: Big Data and Computational Intelligence in Networking, pp. 177–208, CRC Press, 2017.
BibTeX | Tags:
@incollection{karyotis2017hyperbolic,
title = {Hyperbolic Big Data Analytics for Dynamic Network Management and Optimization},
author = {Vasileios Karyotis and Eleni Stai},
year = {2017},
date = {2017-01-01},
booktitle = {Big Data and Computational Intelligence in Networking},
pages = {177--208},
publisher = {CRC Press},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Papadis, N.; Stai, E.; Karyotis, V.
A path-based recommendations approach for online systems via hyperbolic network embedding Conference
Institute of Electrical and Electronics Engineers Inc., 2017, ISSN: 15301346, (cited By 2; Conference of 2017 IEEE Symposium on Computers and Communications, ISCC 2017 ; Conference Date: 3 July 2017 Through 7 July 2017; Conference Code:130537).
Abstract | Links | BibTeX | Tags: Electronic commerce; Embedded systems; Network routing; Recommender systems; Social networking (online), Greedy routing; Hyperbolic spaces; Network embedding; On-line social networks; Path problems; Recommendation algorithms, Online systems
@conference{Papadis2017973,
title = {A path-based recommendations approach for online systems via hyperbolic network embedding},
author = {N. Papadis and E. Stai and V. Karyotis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030552382&doi=10.1109%2fISCC.2017.8024652&partnerID=40&md5=e493e583b0401de9bed050de76373b57},
doi = {10.1109/ISCC.2017.8024652},
issn = {15301346},
year = {2017},
date = {2017-01-01},
journal = {Proceedings - IEEE Symposium on Computers and Communications},
pages = {973-980},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this paper we introduce and demonstrate new recommendation algorithms for large-scale online systems, such as e-shops and cloud services. The proposed algorithms are based on the combination of network embedding in hyperbolic space with greedy routing, exploiting properties of hyperbolic metric spaces. Contrary to the existing recommender systems that rank products in order to propose the highest ranked ones to the users, our proposed recommender system creates a progressive path of recommendations towards a final (known or inferred) target product using greedy routing over networks embedded in hyperbolic space. Thus, it prepares the user by intermediate recommendations for maximizing the chances that he/she accepts the recommendation of the target product(s). This casts the problem of locating a suitable recommendation as a path problem, where leveraging on the efficiency of greedy routing in graphs embedded in hyperbolic spaces and exploiting special network structure, if any, pays dividends. Two variants of our recommendation approach are provided, namely Hyperbolic Recommendation-Known Destination (HRKD), Hyperbolic Recommendation-Unknown Destination (HRUD), when the target product is known or unknown, respectively. We demonstrate how the proposed approach can be used for producing efficient recommendations in online systems, along with studying the impact of the several parameters involved in its performance via proper emulation of user activity over suitably defined graphs. © 2017 IEEE.},
note = {cited By 2; Conference of 2017 IEEE Symposium on Computers and Communications, ISCC 2017 ; Conference Date: 3 July 2017 Through 7 July 2017; Conference Code:130537},
keywords = {Electronic commerce; Embedded systems; Network routing; Recommender systems; Social networking (online), Greedy routing; Hyperbolic spaces; Network embedding; On-line social networks; Path problems; Recommendation algorithms, Online systems},
pubstate = {published},
tppubtype = {conference}
}
Stai, E.; Sotiropoulos, K.; Karyotis, V.; Papavassiliou, S.
Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks Journal Article
In: IEEE Transactions on Network Science and Engineering, vol. 4, no. 3, pp. 140-153, 2017, ISSN: 23274697, (cited By 10).
Abstract | Links | BibTeX | Tags: Betweenness centrality; Greedy routing; Hyperbolic geometry; Network embedding; rigel embedding; Traffic loads, Complex networks; Computational efficiency; Distributed computer systems; Traffic congestion, Network routing
@article{Stai2017140,
title = {Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks},
author = {E. Stai and K. Sotiropoulos and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029930433&doi=10.1109%2fTNSE.2017.2690258&partnerID=40&md5=0a5e420781c16b09d6ecee7b614924c3},
doi = {10.1109/TNSE.2017.2690258},
issn = {23274697},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Network Science and Engineering},
volume = {4},
number = {3},
pages = {140-153},
publisher = {IEEE Computer Society},
abstract = {Computing the most central nodes in large-scale commodity networks is rather important for improving routing and associated applications. In this paper, we introduce a novel framework for the analysis and efficient computation of routing path-based centrality measures, focusing on betweenness and traffic load centrality. The proposed framework enables efficient approximation and in special cases accurate computation of the aforementioned measures in large-scale complex networks, as well as improving/adapting commodity (traffic) routing by identifying and alleviating key congestion points. It capitalizes on network embedding in hyperbolic space and exploits properties of greedy routing over hyperbolic coordinates. We show the computational benefits and approximation precision of our approach by comparing it with state-of-the-art path centrality computation techniques. We demonstrate its applicability on real topologies, characteristic of actual large-scale commodity networks, e.g., data, utility networks. Focusing on two graph embedding types, Rigel and greedy, we compare their impact on the performance of our framework. Then, we exemplify and statistically analyze the dynamic routing adaptation, via the variation of the minimum-depth spanning tree employed for greedy embedding in hyperbolic space. Notably, this allows for efficient routing adaptation according to a simple, distributed computation that can be applied during network operation to alleviate arising bottlenecks. © 2013 IEEE.},
note = {cited By 10},
keywords = {Betweenness centrality; Greedy routing; Hyperbolic geometry; Network embedding; rigel embedding; Traffic loads, Complex networks; Computational efficiency; Distributed computer systems; Traffic congestion, Network routing},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Karyotis, V.; Bitsaki, A. -C.; Papavassiliou, S.
Strategy evolution of information diffusion under time-varying user behavior in generalized networks Journal Article
In: Computer Communications, vol. 100, pp. 91-103, 2017, ISSN: 01403664, (cited By 10).
Abstract | Links | BibTeX | Tags: Behavioral research; Game theory; Health; Social networking (online), Evolutionary games; Fitness; Generalized networks; Information diffusion; Time varying behavior, Time varying networks
@article{Stai201791,
title = {Strategy evolution of information diffusion under time-varying user behavior in generalized networks},
author = {E. Stai and V. Karyotis and A. -C. Bitsaki and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009355077&doi=10.1016%2fj.comcom.2016.12.013&partnerID=40&md5=2df1b79f484ed668c1646c1607709f69},
doi = {10.1016/j.comcom.2016.12.013},
issn = {01403664},
year = {2017},
date = {2017-01-01},
journal = {Computer Communications},
volume = {100},
pages = {91-103},
publisher = {Elsevier B.V.},
abstract = {Modern generalized networks, where physical devices and social players are combined to support seamless and more flexible services, are strongly driven by user behavior and its evolution. A typical example of behavior-affected processes is the information diffusion by users in generalized networks. In this paper, we focus on user strategy selection with respect to information diffusion in generalized networks, and study its evolutionary dynamics and their benefits, as user behavior/interests change over the course of time. We model information diffusion in generalized networks through graphical evolutionary game theory (graphical EGT) and analyze the evolution of the system and its Evolutionary Stable States (ESS) for time-varying fitness values due to time-varying user interests. We perform extensive evaluations based on numerical and simulation results, and study the impact of several parameters on the derived ESS curves (i.e., ESS points over time). Such parameters involve user interests and their fitness values, and the degree distributions and network type of the layers of the generalized network. We thoroughly evaluate via numerical analysis and appropriate examples the existence of ESS loci for the system dynamics depending on the associated parameters. Also, we discuss the relation between (graphical) EGT-based information diffusion analysis and the epidemics-based information diffusion modeling and analysis that is frequently applied in the literature. Our modeling and evaluations can be used to predict the evolution of the cumulative behavior, allowing for efficient design and control of information campaigns. © 2016},
note = {cited By 10},
keywords = {Behavioral research; Game theory; Health; Social networking (online), Evolutionary games; Fitness; Generalized networks; Information diffusion; Time varying behavior, Time varying networks},
pubstate = {published},
tppubtype = {article}
}
Karyotis, V.; Stai, E.
Hyperbolic big data analytics for dynamic network management and optimization Book
CRC Press, 2017, ISBN: 9781498784870; 9781498784863, (cited By 1).
Abstract | Links | BibTeX | Tags: Big data; Environmental management; Machinery; Network layers; Network management, Dynamic network management; Efficient managements; Embedding of graphs; Multi-layer network; Network structures; Networking environment; Operational environments; Structural feature, Information management
@book{Karyotis2017177,
title = {Hyperbolic big data analytics for dynamic network management and optimization},
author = {V. Karyotis and E. Stai},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052714130&doi=10.1201%2fb21278&partnerID=40&md5=538cccccfa15d20aa1230ee5bb1891df},
doi = {10.1201/b21278},
isbn = {9781498784870; 9781498784863},
year = {2017},
date = {2017-01-01},
journal = {Big Data and Computational Intelligence in Networking},
pages = {177-207},
publisher = {CRC Press},
abstract = {178Massive numbers of devices, growing user populations and voluminous amounts of produced/exchanged information are expected in the complex cyber-physical networks of the future. The new scales of operation give rise to a big network data era, where multi-layer networks form and users become content producers/consumers (prosumers). The challenges associated with the forthcoming networking environments require radical rethinking of current network analysis, management and operation practices. This chapter will focus on this effort, and more specifically on reinventing the machinery for computing key network metrics that allow improving network management/operation, while also developing more efficient overlay applications within demanding operational environments. Special attention is given to the impact of network evolution on the computation of such metrics, an aspect relatively neglected until recently. In order to efficiently compute key metrics associated with social or structural features of the network and track them when the infrastructure evolves, a big data analytics methodology, denoted as Hyperbolic Data Analytics (HDA), is applied. HDA is based on the embedding of graphs in the hyperbolic space, leading to more efficient management/operation, typically by exploiting hidden network structure. HDA is a characteristic example of developing computational intelligence over big network data and exploiting them for improving/optimizing both infrastructures and applications/services. HDA will provide the means for computing efficiently network analysis metrics, the evolution of which indicates the evolution of the corresponding network’s structure. © 2018 by Taylor and Francis Group, LLC.},
note = {cited By 1},
keywords = {Big data; Environmental management; Machinery; Network layers; Network management, Dynamic network management; Efficient managements; Embedding of graphs; Multi-layer network; Network structures; Networking environment; Operational environments; Structural feature, Information management},
pubstate = {published},
tppubtype = {book}
}
Mikalef, P.; Kourouthanassis, P. E.; Pateli, A. G.
Online information search behaviour of physicians Journal Article
In: Health Information and Libraries Journal, vol. 34, no. 1, pp. 58-73, 2017, (cited By 31).
@article{Mikalef201758,
title = {Online information search behaviour of physicians},
author = {P. Mikalef and P. E. Kourouthanassis and A. G. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012881810&doi=10.1111%2fhir.12170&partnerID=40&md5=ff612ca71c639b29ac30fa0355da89a4},
doi = {10.1111/hir.12170},
year = {2017},
date = {2017-01-01},
journal = {Health Information and Libraries Journal},
volume = {34},
number = {1},
pages = {58-73},
note = {cited By 31},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pateli, A. G.; Mikalef, P.
Configurations explaining the impact of social media on innovation performance Conference
2017, (cited By 3).
@conference{Pateli2017,
title = {Configurations explaining the impact of social media on innovation performance},
author = {A. G. Pateli and P. Mikalef},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091076659&partnerID=40&md5=3415a12331f2ce24b3f3fa68185bce37},
year = {2017},
date = {2017-01-01},
journal = {Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017},
note = {cited By 3},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Wetering, R. Van De; Mikalef, P.; Pateli, A.
A strategic alignment model for it flexibility and dynamic capabilities: Toward an assessment tool Conference
2017, (cited By 30).
@conference{VanDeWetering20171468,
title = {A strategic alignment model for it flexibility and dynamic capabilities: Toward an assessment tool},
author = {R. Van De Wetering and P. Mikalef and A. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057570366&partnerID=40&md5=3c9cdcf7a7e9f46d28ff69f252d8bc09},
year = {2017},
date = {2017-01-01},
journal = {Proceedings of the 25th European Conference on Information Systems, ECIS 2017},
pages = {1468-1485},
note = {cited By 30},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mikalef, P.; Pateli, A. G.
Social media for open innovation: A study of adoption determinants Conference
2017, (cited By 6).
@conference{Mikalef2017,
title = {Social media for open innovation: A study of adoption determinants},
author = {P. Mikalef and A. G. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047238599&partnerID=40&md5=86597c7a1b19d0789b48e084d163cadc},
year = {2017},
date = {2017-01-01},
journal = {Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017},
note = {cited By 6},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Moraitou, M.; Pateli, A.; Fotiou, S.
Smart Health Caring Home: A Systematic Review of Smart Home Care for Elders and Chronic Disease Patients Journal Article
In: Advances in Experimental Medicine and Biology, vol. 989, pp. 255-264, 2017, (cited By 19).
@article{Moraitou2017255,
title = {Smart Health Caring Home: A Systematic Review of Smart Home Care for Elders and Chronic Disease Patients},
author = {M. Moraitou and A. Pateli and S. Fotiou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032387649&doi=10.1007%2f978-3-319-57348-9_22&partnerID=40&md5=36f2b24f23c5cf87a92d4d7be186766e},
doi = {10.1007/978-3-319-57348-9_22},
year = {2017},
date = {2017-01-01},
journal = {Advances in Experimental Medicine and Biology},
volume = {989},
pages = {255-264},
note = {cited By 19},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wetering, R. Van De; Mikalef, P.; Pateli, A.
vol. 2017-August, 2017, (cited By 12).
@conference{VanDeWetering2017,
title = {Managing firms’ innovation capabilities through strategically aligning combinative IT and dynamic capabilities},
author = {R. Van De Wetering and P. Mikalef and A. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029444120&partnerID=40&md5=be3cd9c137eccf659a0bc8b7b90ef2b2},
year = {2017},
date = {2017-01-01},
journal = {AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation},
volume = {2017-August},
note = {cited By 12},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mikalef, P.; Pateli, A.
Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA Journal Article
In: Journal of Business Research, vol. 70, pp. 1-16, 2017, (cited By 607).
@article{Mikalef20171,
title = {Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA},
author = {P. Mikalef and A. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994666919&doi=10.1016%2fj.jbusres.2016.09.004&partnerID=40&md5=078cabc7276e40ec1f53f3ca00a75356},
doi = {10.1016/j.jbusres.2016.09.004},
year = {2017},
date = {2017-01-01},
journal = {Journal of Business Research},
volume = {70},
pages = {1-16},
note = {cited By 607},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2016
Ringas, Dimitrios; Christopoulou, Eleni
Effect of Urban Computing on the Public’s Perception of Place, Community, and Infrastructure Journal Article
In: Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design, pp. 145, 2016.
BibTeX | Tags:
@article{ringas2016effect,
title = {Effect of Urban Computing on the Public’s Perception of Place, Community, and Infrastructure},
author = {Dimitrios Ringas and Eleni Christopoulou},
year = {2016},
date = {2016-01-01},
journal = {Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design},
pages = {145},
publisher = {IGI Global},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Kourouthanassis, Panos E; Giannakos, Michail N; Chrissikopoulos, Vassilios
Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions Journal Article
In: Journal of Business Research, vol. 69, no. 2, pp. 794–803, 2016.
BibTeX | Tags:
@article{pappas2016explaining,
title = {Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions},
author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},
year = {2016},
date = {2016-01-01},
journal = {Journal of Business Research},
volume = {69},
number = {2},
pages = {794--803},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, Panos; Pappas, Ilias O; Bardaki, Cleopatra; Giannakos, Michail
A matter of trust and emotions: A complexity theory approach to explain the adoption of EGOVERNMENT services Journal Article
In: 2016.
BibTeX | Tags:
@article{kourouthanassis2016matter,
title = {A matter of trust and emotions: A complexity theory approach to explain the adoption of EGOVERNMENT services},
author = {Panos Kourouthanassis and Ilias O Pappas and Cleopatra Bardaki and Michail Giannakos},
year = {2016},
date = {2016-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sofia, Gkika; Marianna, Skiada; George, Lekakos; Panos, Kourouthanasis
Investigating the role of personality traits and influence strategies on the persuasive effect of personalized recommendations Proceedings Article
In: 4th Workshop on emotions and personality in personalized systems (EMPIRE), 2016.
BibTeX | Tags:
@inproceedings{sofia2016investigating,
title = {Investigating the role of personality traits and influence strategies on the persuasive effect of personalized recommendations},
author = {Gkika Sofia and Skiada Marianna and Lekakos George and Kourouthanasis Panos},
year = {2016},
date = {2016-01-01},
booktitle = {4th Workshop on emotions and personality in personalized systems (EMPIRE)},
volume = {9},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kourouthanassis, Panos E; Giaglis, George M
The design challenge of pervasive information systems Book Section
In: Pervasive information systems, pp. 29–85, Routledge, 2016.
BibTeX | Tags:
@incollection{kourouthanassis2016design,
title = {The design challenge of pervasive information systems},
author = {Panos E Kourouthanassis and George M Giaglis},
year = {2016},
date = {2016-01-01},
booktitle = {Pervasive information systems},
pages = {29--85},
publisher = {Routledge},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Kourouthanassis, Panos E; Giaglis, George M
Toward pervasiveness: Four eras of information systems development Book Section
In: Pervasive Information Systems, pp. 19–42, Routledge, 2016.
BibTeX | Tags:
@incollection{kourouthanassis2016toward,
title = {Toward pervasiveness: Four eras of information systems development},
author = {Panos E Kourouthanassis and George M Giaglis},
year = {2016},
date = {2016-01-01},
booktitle = {Pervasive Information Systems},
pages = {19--42},
publisher = {Routledge},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Kourouthanassis, Panos E; Giaglis, George M
Pervasive Electronic Services in Health Care Ilias Maglogiannis and Stathes Hadjiefthymiades Book Section
In: Pervasive Information Systems, pp. 196–210, Routledge, 2016.
BibTeX | Tags:
@incollection{kourouthanassis2016pervasive,
title = {Pervasive Electronic Services in Health Care Ilias Maglogiannis and Stathes Hadjiefthymiades},
author = {Panos E Kourouthanassis and George M Giaglis},
year = {2016},
date = {2016-01-01},
booktitle = {Pervasive Information Systems},
pages = {196--210},
publisher = {Routledge},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Stai, Eleni; Karyotis, Vasileios; Papavassiliou, Symeon
A hyperbolic space analytics framework for big network data and their applications Journal Article
In: IEEE Network, vol. 30, no. 1, pp. 11–17, 2016.
BibTeX | Tags:
@article{stai2016hyperbolic,
title = {A hyperbolic space analytics framework for big network data and their applications},
author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
year = {2016},
date = {2016-01-01},
journal = {IEEE Network},
volume = {30},
number = {1},
pages = {11--17},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karyotis, Vasileios; Khouzani, MHR
Malware Diffusion Models for Modern Complex Networks Miscellaneous
2016.
BibTeX | Tags:
@misc{karyotis2016malware,
title = {Malware Diffusion Models for Modern Complex Networks},
author = {Vasileios Karyotis and MHR Khouzani},
year = {2016},
date = {2016-01-01},
publisher = {Morgan Kaufmann},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Karyotis, Vasileios; Stai, Eleni; Papavassiliou, Symeon
On the Evolution of Complex Network Topology Under Network Churn Proceedings Article
In: International Conference on Wired/Wireless Internet Communication, pp. 227–240, Springer, Cham 2016.
BibTeX | Tags:
@inproceedings{karyotis2016evolution,
title = {On the Evolution of Complex Network Topology Under Network Churn},
author = {Vasileios Karyotis and Eleni Stai and Symeon Papavassiliou},
year = {2016},
date = {2016-01-01},
booktitle = {International Conference on Wired/Wireless Internet Communication},
pages = {227--240},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stai, Eleni; Sotiropoulos, Konstantinos; Karyotis, Vasileios; Papavassiliou, Symeon
Hyperbolic traffic load centrality for large-scale complex communications networks Proceedings Article
In: 2016 23rd International Conference on Telecommunications (ICT), pp. 1–5, IEEE 2016.
BibTeX | Tags:
@inproceedings{stai2016hyperbolicb,
title = {Hyperbolic traffic load centrality for large-scale complex communications networks},
author = {Eleni Stai and Konstantinos Sotiropoulos and Vasileios Karyotis and Symeon Papavassiliou},
year = {2016},
date = {2016-01-01},
booktitle = {2016 23rd International Conference on Telecommunications (ICT)},
pages = {1--5},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stai, Eleni; Karyotis, Vasileios; Katsinis, Georgios; Tsiropoulou, Eirini Eleni; Papavassiliou, Symeon
Hyperbolic Big Data Analytics within Complex and Social Networks Book Section
In: Big Data in Complex and Social Networks, pp. 13–46, Chapman and Hall/CRC, 2016.
BibTeX | Tags:
@incollection{stai2016hyperbolicc,
title = {Hyperbolic Big Data Analytics within Complex and Social Networks},
author = {Eleni Stai and Vasileios Karyotis and Georgios Katsinis and Eirini Eleni Tsiropoulou and Symeon Papavassiliou},
year = {2016},
date = {2016-01-01},
booktitle = {Big Data in Complex and Social Networks},
pages = {13--46},
publisher = {Chapman and Hall/CRC},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Karyotis, Vasileios; Stai, Eleni; Papavassiliou, Symeon
A component-based cross-layer framework for software defined wireless networks Proceedings Article
In: 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–6, IEEE 2016.
BibTeX | Tags:
@inproceedings{karyotis2016component,
title = {A component-based cross-layer framework for software defined wireless networks},
author = {Vasileios Karyotis and Eleni Stai and Symeon Papavassiliou},
year = {2016},
date = {2016-01-01},
booktitle = {2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)},
pages = {1--6},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Thai, My T; Wu, Weili; Xiong, Hui
Big data in complex and social networks Miscellaneous
2016.
BibTeX | Tags:
@misc{thai2016big,
title = {Big data in complex and social networks},
author = {My T Thai and Weili Wu and Hui Xiong},
year = {2016},
date = {2016-01-01},
publisher = {CRC Press},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Ivanov, T.; Izberovic, S.; Korfiatis, N.
The heterogeneity paradigm in big data architectures Book
2016, (cited By 0).
@book{Ivanov2016485,
title = {The heterogeneity paradigm in big data architectures},
author = {T. Ivanov and S. Izberovic and N. Korfiatis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018606313&doi=10.4018%2f978-1-5225-1759-7.ch021&partnerID=40&md5=0075dbd0290ea55ba9718cb277f17839},
doi = {10.4018/978-1-5225-1759-7.ch021},
year = {2016},
date = {2016-01-01},
journal = {Artificial Intelligence: Concepts, Methodologies, Tools, and Applications},
volume = {1},
pages = {485-511},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Lavranos, C.; Kostagiolas, P.; Korfiatis, N.; Papadatos, J.
Information seeking for musical creativity: A systematic literature review Journal Article
In: Journal of the Association for Information Science and Technology, vol. 67, no. 9, pp. 2105-2117, 2016, (cited By 24).
@article{Lavranos20162105,
title = {Information seeking for musical creativity: A systematic literature review},
author = {C. Lavranos and P. Kostagiolas and N. Korfiatis and J. Papadatos},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983262153&doi=10.1002%2fasi.23534&partnerID=40&md5=5508e66ddd3320c87981fbf541f2e72e},
doi = {10.1002/asi.23534},
year = {2016},
date = {2016-01-01},
journal = {Journal of the Association for Information Science and Technology},
volume = {67},
number = {9},
pages = {2105-2117},
note = {cited By 24},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zicari, R. V.; Rosselli, M.; Ivanov, T.; Korfiatis, N.; Tolle, K.; Niemann, R.; Reichenbach, C.
Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization Journal Article
In: Studies in Big Data, vol. 18, pp. 17-47, 2016, (cited By 15).
@article{Zicari201617,
title = {Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization},
author = {R. V. Zicari and M. Rosselli and T. Ivanov and N. Korfiatis and K. Tolle and R. Niemann and C. Reichenbach},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125454798&doi=10.1007%2f978-3-319-30265-2_2&partnerID=40&md5=5819b069329aa9de0b1f8666c9305f5f},
doi = {10.1007/978-3-319-30265-2_2},
year = {2016},
date = {2016-01-01},
journal = {Studies in Big Data},
volume = {18},
pages = {17-47},
note = {cited By 15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karyotis, V.; Stai, E.; Papavassiliou, S.
A component-based cross-layer framework for software defined wireless networks Conference
Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509029143, (cited By 3; Conference of 8th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2016 ; Conference Date: 21 November 2016 Through 23 November 2016; Conference Code:125557).
Abstract | Links | BibTeX | Tags: Autonomous decision; Component based approach; Component-based architecture; Cross-layer design; Cross-layer framework; Heterogeneous wireless network; Network optimization; Proposed architectures, Decision making; Heterogeneous networks; Markov processes; Network layers; Resource allocation; Structural frames; Wireless networks, Network architecture
@conference{Karyotis2016,
title = {A component-based cross-layer framework for software defined wireless networks},
author = {V. Karyotis and E. Stai and S. Papavassiliou},
editor = {Vassiliou V. Pau G. Badra M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011284151&doi=10.1109%2fNTMS.2016.7792426&partnerID=40&md5=20e00845b790f63c4550f376c4bbc308},
doi = {10.1109/NTMS.2016.7792426},
isbn = {9781509029143},
year = {2016},
date = {2016-01-01},
journal = {2016 8th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2016},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Network architectures that exhibit cognitive behavior, such as self-adaptation and reconfiguration, are becoming extremely popular paradigms for the future heterogeneous wireless networks. Towards this direction, in this paper, we leverage on the component-based approach to achieve modular cross-layer design and propose a protocol stack with adaptive features that allows autonomous decision-making using local ambient information. The proposed framework allows segregating control from the data plane and combining different techniques, such as backpressure and Markov Random Fields (MRFs), for more efficient adaptation and flexibility against network variations. We demonstrate the effectiveness of the proposed approach and the component-based features of the architecture by presenting hybrid control plane mechanisms that combine the aforementioned techniques in a modular fashion. Finally, we provide directions for practically exploiting the proposed architecture. © 2016 IEEE.},
note = {cited By 3; Conference of 8th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2016 ; Conference Date: 21 November 2016 Through 23 November 2016; Conference Code:125557},
keywords = {Autonomous decision; Component based approach; Component-based architecture; Cross-layer design; Cross-layer framework; Heterogeneous wireless network; Network optimization; Proposed architectures, Decision making; Heterogeneous networks; Markov processes; Network layers; Resource allocation; Structural frames; Wireless networks, Network architecture},
pubstate = {published},
tppubtype = {conference}
}
Stai, E.; Karyotis, V.; Katsinis, G.; Tsiropoulou, E. E.; Papavassiliou, S.
A hyperbolic big data analytics framework within complex and social networks Book
CRC Press, 2016, ISBN: 9781315396699; 9781498726849, (cited By 4).
Links | BibTeX | Tags: Computer networks; Information systems
@book{Stai20163,
title = {A hyperbolic big data analytics framework within complex and social networks},
author = {E. Stai and V. Karyotis and G. Katsinis and E. E. Tsiropoulou and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052946845&doi=10.1201%2f9781315396705&partnerID=40&md5=dc97e825ebad699a5d839eec43778648},
doi = {10.1201/9781315396705},
isbn = {9781315396699; 9781498726849},
year = {2016},
date = {2016-01-01},
journal = {Big Data in Complex and Social Networks},
pages = {3-36},
publisher = {CRC Press},
note = {cited By 4},
keywords = {Computer networks; Information systems},
pubstate = {published},
tppubtype = {book}
}
Stai, E.; Karyotis, V.; Papavassiliou, S.
Nova Science Publishers, Inc., 2016, ISBN: 9781634852432; 9781634852258, (cited By 0).
Abstract | Links | BibTeX | Tags:
@book{Stai201645,
title = {Modeling and control of user interest dictated information dissemination in communications and social networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156108074&partnerID=40&md5=283dfb537c58ae4ad64224391ac08e60},
isbn = {9781634852432; 9781634852258},
year = {2016},
date = {2016-01-01},
journal = {Advances in Social Networking Research},
pages = {45-88},
publisher = {Nova Science Publishers, Inc.},
abstract = {Information dissemination is one of the most critical processes in modern societies and one of the most important reasons for the proliferation of communications networks, especially of online social networks that have enabled global information exchange at rapid scales. This chapter will focus on information dissemination models that compared to the current literature, they specifically take into account aspects related to user interest and its temporal variability in the dynamics of information spreading. We focus on a dissemination framework regarding solely useful information, where users of communications and online social networks are willing to accept information and potentially further propagate it to their uninformed peers, depending on the interest each user has on specific topics. This is a novel perspective to consider information dissemination under inhomogeneous mixing, since the time-varying user interests affect significantly the outcome and the dynamics of information propagation and have an impact on its control process. Such models can be employed for further improving information dissemination analysis and control methodologies, and they can be exploited in various application domains, e.g., from infrastructure design and management, to marketing and advertising improvement. This chapter addresses both the modeling of information dissemination, especially via epidemics and evolutionary game theoretic techniques, as well as their control via optimal control frameworks and dual optimization techniques. © 2016 Nova Science Publishers, Inc. All rights reserved.},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Stai, E.; Sotiropoulos, K.; Karyotis, V.; Papavassiliou, S.
Hyperbolic Traffic Load Centrality for large-scale complex communications networks Conference
Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509019908, (cited By 3; Conference of 23rd International Conference on Telecommunications, ICT 2016 ; Conference Date: 16 May 2016 Through 18 May 2016; Conference Code:122441).
Abstract | Links | BibTeX | Tags: Analysis and simulation; Communications networks; Greedy routing; Hyperbolic geometry; Network embedding; Scale-free properties; Shortest path routing; Traffic loads, Complex networks; Graph theory; Telecommunication networks, Network routing
@conference{Stai2016,
title = {Hyperbolic Traffic Load Centrality for large-scale complex communications networks},
author = {E. Stai and K. Sotiropoulos and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205129&doi=10.1109%2fICT.2016.7500371&partnerID=40&md5=f46ed087a57f7adf10247c593797f09b},
doi = {10.1109/ICT.2016.7500371},
isbn = {9781509019908},
year = {2016},
date = {2016-01-01},
journal = {2016 23rd International Conference on Telecommunications, ICT 2016},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Estimating accurately important nodes for routing in modern and future networks is a key process with numerous benefits. Towards this goal, in this paper we propose Hyperbolic Traffic Load Centrality (HTLC), as a novel alternative to the Traffic Load Centrality (TLC) metric, used for ranking nodes with respect to their importance in the routing operation. HTLC is based on network embedding in hyperbolic space, while assuming paths paved by greedy routing over hyperbolic coordinates, which requires less computational effort than shortest path routing (in terms of hop distances) used for TLC. Greedy routing in hyperbolic space also yields paths with lengths very close to the shortest ones for the social networks of interest bearing the scale-free property. Through analysis and simulation, we demonstrate that HTLC requires significantly lower computational time than TLC, and despite being more suitable for greedy routing constraints over hyperbolic space, it nevertheless achieves a close approximation of TLC for networks with scale-free properties when assuming shortest path routing. Thus, it can substitute TLC when analyzing very large network topologies. © 2016 IEEE.},
note = {cited By 3; Conference of 23rd International Conference on Telecommunications, ICT 2016 ; Conference Date: 16 May 2016 Through 18 May 2016; Conference Code:122441},
keywords = {Analysis and simulation; Communications networks; Greedy routing; Hyperbolic geometry; Network embedding; Scale-free properties; Shortest path routing; Traffic loads, Complex networks; Graph theory; Telecommunication networks, Network routing},
pubstate = {published},
tppubtype = {conference}
}
Karyotis, V.; Khouzani, M. H. R.
Malware Diffusion Models for Modern Complex Networks: Theory and Applications Book
Elsevier Inc., 2016, ISBN: 9780128027141, (cited By 34).
Abstract | Links | BibTeX | Tags: Application models; Calculus of variations; Communications networks; Diffusion process; General applications; Global economies; State of the art; Theoretical aspects, Application programs; Calculations; Complex networks; Computer crime; Computer games; Diffusion; Game theory; Information dissemination, Malware
@book{Karyotis20161,
title = {Malware Diffusion Models for Modern Complex Networks: Theory and Applications},
author = {V. Karyotis and M. H. R. Khouzani},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966747178&doi=10.1016%2fC2014-0-02168-5&partnerID=40&md5=06baba5b752e60adbf37584ad2514605},
doi = {10.1016/C2014-0-02168-5},
isbn = {9780128027141},
year = {2016},
date = {2016-01-01},
journal = {Malware Diffusion Models for Modern Complex Networks: Theory and Applications},
pages = {1-296},
publisher = {Elsevier Inc.},
abstract = {Malware Diffusion Models for Wireless Complex Networks: Theory and Applications provides a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. As the proliferation of portable devices, namely smartphones and tablets, and their increased capabilities, has propelled the intensity of malware spreading and increased its consequences in social life and the global economy, this book provides the theoretical aspect of malware dissemination, also presenting modeling approaches that describe the behavior and dynamics of malware diffusion in various types of wireless complex networks. Sections include a systematic introduction to malware diffusion processes in computer and communications networks, an analysis of the latest state-of-the-art malware diffusion modeling frameworks, such as queuing-based techniques, calculus of variations based techniques, and game theory based techniques, also demonstrating how the methodologies can be used for modeling in more general applications and practical scenarios. Presents a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. Systematically introduces malware diffusion processes, providing the relevant mathematical background. Discusses malware modeling frameworks and how to apply them to complex wireless networks. Provides guidelines and directions for extending the corresponding theories in other application domains, demonstrating such possibility by using application models in information dissemination scenarios. © 2016 Elsevier Inc. All rights reserved.},
note = {cited By 34},
keywords = {Application models; Calculus of variations; Communications networks; Diffusion process; General applications; Global economies; State of the art; Theoretical aspects, Application programs; Calculations; Complex networks; Computer crime; Computer games; Diffusion; Game theory; Information dissemination, Malware},
pubstate = {published},
tppubtype = {book}
}
Karyotis, V.; Stai, E.; Papavassiliou, S.
On the evolution of complex network topology under network churn Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9674, pp. 227-240, 2016, ISSN: 03029743, (cited By 1; Conference of 14th IFIP WG 6.2 International Conference on Wired/Wireless Internet Communications, WWIC 2016 ; Conference Date: 25 May 2016 Through 27 May 2016; Conference Code:176559).
Abstract | Links | BibTeX | Tags: Analysis frameworks; Clustering coefficient; Edge churn; Future internet; Heterogeneous access; Multi-dimensional vectors; Network evolution; Network properties, Complex networks, Internet; Topology; Vector spaces
@article{Karyotis2016227,
title = {On the evolution of complex network topology under network churn},
author = {V. Karyotis and E. Stai and S. Papavassiliou},
editor = {Mamatas L. Matta I. Papadimitriou P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978959144&doi=10.1007%2f978-3-319-33936-8_18&partnerID=40&md5=d66eefa06bcaa59521adbf8ba126608e},
doi = {10.1007/978-3-319-33936-8_18},
issn = {03029743},
year = {2016},
date = {2016-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {9674},
pages = {227-240},
publisher = {Springer Verlag},
abstract = {The future Internet is becoming more diverse, incorporating heterogeneous access networks. The latter are characterized by numerous devices that join/leave the network dynamically, creating intense churn patterns. New approaches to analyze and quantify churn-induced network evolution are required. In this paper, we address such need by introducing a new analysis framework that maps network evolution into trajectories in multi-dimensional vector spaces. Each network instance is characterized by a feature vector, indicating network properties of interest. To demonstrate the potentials of this approach, we exemplify and study the effect of edge churn on various complex topologies, frequently emerging in various communications environments. We investigate via simulation the impact of network evolution, by quantifying its effect on key network analysis metrics, such as the clustering coefficient and the plethora of centrality metrics, employed at large for analyzing topologies and designing applications. The proposed framework aspires to establish more holistic and efficient complex network control. © IFIP International Federation for Information Processing 2016.},
note = {cited By 1; Conference of 14th IFIP WG 6.2 International Conference on Wired/Wireless Internet Communications, WWIC 2016 ; Conference Date: 25 May 2016 Through 27 May 2016; Conference Code:176559},
keywords = {Analysis frameworks; Clustering coefficient; Edge churn; Future internet; Heterogeneous access; Multi-dimensional vectors; Network evolution; Network properties, Complex networks, Internet; Topology; Vector spaces},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Karyotis, V.; Papavassiliou, S.
A hyperbolic space analytics framework for big network data and their applications Journal Article
In: IEEE Network, vol. 30, no. 1, pp. 11-17, 2016, ISSN: 08908044, (cited By 26).
Abstract | Links | BibTeX | Tags: Big data; Data handling; Data reduction; Decision making; Digital storage; Economics; Information analysis; Measurements; Optimization; Problem solving; Resource allocation; Topology, Current practices; Diverse applications; Effective solution; Network economics; Network resource allocations; Network topology; Resource management; Routing, Information management
@article{Stai201611,
title = {A hyperbolic space analytics framework for big network data and their applications},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962018671&doi=10.1109%2fMNET.2016.7389825&partnerID=40&md5=452d87373227f1a5a381b819787d5630},
doi = {10.1109/MNET.2016.7389825},
issn = {08908044},
year = {2016},
date = {2016-01-01},
journal = {IEEE Network},
volume = {30},
number = {1},
pages = {11-17},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Big data analytics have generated a paradigm shift in modern data analysis and decision making in almost every aspect of human society. Nowadays, massive amounts of generated network and correlated (networked) data pose critical computational and storage challenges, requiring the development of radical techniques to manage, process, and analyze them more efficiently. We propose embedding such data and their correlations in hyperbolic metric spaces as one approach aspiring to radically change current practices. In this article, we explore the potential that such data embedding and the corresponding hyperbolic space based data analytics can offer to networks, their applications, and their services. We demonstrate how this approach may lead to more efficient and scalable problem solving within diverse application domains, such as network design/analysis, network resource allocation optimization, and network economics/marketing, paving the way for more diverse and effective solutions in the future. © 2016 IEEE.},
note = {cited By 26},
keywords = {Big data; Data handling; Data reduction; Decision making; Digital storage; Economics; Information analysis; Measurements; Optimization; Problem solving; Resource allocation; Topology, Current practices; Diverse applications; Effective solution; Network economics; Network resource allocations; Network topology; Resource management; Routing, Information management},
pubstate = {published},
tppubtype = {article}
}
Mikalef, P.; Pateli, A.; Wetering, R. Van De
IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities Conference
2016, (cited By 50).
@conference{Mikalef2016,
title = {IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities},
author = {P. Mikalef and A. Pateli and R. Van De Wetering},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995752467&partnerID=40&md5=9d7caebb1f36b7e9a51eb336e8187b68},
year = {2016},
date = {2016-01-01},
journal = {24th European Conference on Information Systems, ECIS 2016},
note = {cited By 50},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mikalef, P.; Pateli, A.; Wetering, R. Van De
IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities Conference
2016, (cited By 50).
@conference{Mikalef2016b,
title = {IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities},
author = {P. Mikalef and A. Pateli and R. Van De Wetering},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995752467&partnerID=40&md5=9d7caebb1f36b7e9a51eb336e8187b68},
year = {2016},
date = {2016-01-01},
journal = {24th European Conference on Information Systems, ECIS 2016},
note = {cited By 50},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2015
Ringas, Dimitrios; Christopoulou, Eleni; Stefanidakis, Michail
Field experience and user evaluation from a real-world internet application in an urban-scale environment Journal Article
In: International Journal of Intelligent Engineering Informatics, vol. 3, no. 2-3, pp. 144–165, 2015.
BibTeX | Tags:
@article{ringas2015field,
title = {Field experience and user evaluation from a real-world internet application in an urban-scale environment},
author = {Dimitrios Ringas and Eleni Christopoulou and Michail Stefanidakis},
year = {2015},
date = {2015-01-01},
journal = {International Journal of Intelligent Engineering Informatics},
volume = {3},
number = {2-3},
pages = {144--165},
publisher = {Inderscience Publishers (IEL)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, Panos E; Boletsis, Costas; Lekakos, George
Demystifying the design of mobile augmented reality applications Journal Article
In: Multimedia Tools and Applications, vol. 74, pp. 1045–1066, 2015.
BibTeX | Tags:
@article{kourouthanassis2015demystifying,
title = {Demystifying the design of mobile augmented reality applications},
author = {Panos E Kourouthanassis and Costas Boletsis and George Lekakos},
year = {2015},
date = {2015-01-01},
journal = {Multimedia Tools and Applications},
volume = {74},
pages = {1045--1066},
publisher = {Springer US},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Christopoulou, Eleni; Ringas, Dimitrios
Wild recommendations: Presenting citizens relevant content based on use patterns and context Proceedings Article
In: Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on, pp. 1–6, IEEE 2015.
BibTeX | Tags:
@inproceedings{christopoulou2015wild,
title = {Wild recommendations: Presenting citizens relevant content based on use patterns and context},
author = {Eleni Christopoulou and Dimitrios Ringas},
year = {2015},
date = {2015-01-01},
booktitle = {Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on},
pages = {1--6},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ringas, Dimitrios; Christopoulou, Eleni; Stefanidakis, Michail
Content seeking strategies in urban computing applications Proceedings Article
In: Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on, pp. 1–6, IEEE 2015.
BibTeX | Tags:
@inproceedings{ringas2015content,
title = {Content seeking strategies in urban computing applications},
author = {Dimitrios Ringas and Eleni Christopoulou and Michail Stefanidakis},
year = {2015},
date = {2015-01-01},
booktitle = {Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on},
pages = {1--6},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kourouthanassis, Panos; Lekakos, George; Gerakis, Vassilis
Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use Journal Article
In: Behaviour & Information Technology, vol. 34, no. 2, pp. 190–203, 2015.
BibTeX | Tags:
@article{kourouthanassis2015should,
title = {Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use},
author = {Panos Kourouthanassis and George Lekakos and Vassilis Gerakis},
year = {2015},
date = {2015-01-01},
journal = {Behaviour & Information Technology},
volume = {34},
number = {2},
pages = {190--203},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, Panos; Boletsis, Costas; Bardaki, Cleopatra; Chasanidou, Dimitra
Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior Journal Article
In: Pervasive and Mobile Computing, vol. 18, pp. 71–87, 2015.
BibTeX | Tags:
@article{kourouthanassis2015tourists,
title = {Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior},
author = {Panos Kourouthanassis and Costas Boletsis and Cleopatra Bardaki and Dimitra Chasanidou},
year = {2015},
date = {2015-01-01},
journal = {Pervasive and Mobile Computing},
volume = {18},
pages = {71--87},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fronimos, Dimitris; Kourouthanassis, Panos
In search for online shopping mission types based on social network analysis Proceedings Article
In: Proceedings of the 19th Panhellenic Conference on Informatics, pp. 289–294, 2015.
BibTeX | Tags:
@inproceedings{fronimos2015search,
title = {In search for online shopping mission types based on social network analysis},
author = {Dimitris Fronimos and Panos Kourouthanassis},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 19th Panhellenic Conference on Informatics},
pages = {289--294},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Karyotis, Vasileios; Papavassiliou, Symeon
Evaluation of Malware Spreading in Wireless Multihop Networks with Churn Proceedings Article
In: International Conference on Ad Hoc Networks, pp. 63–74, Springer, Cham 2015.
BibTeX | Tags:
@inproceedings{karyotis2015evaluation,
title = {Evaluation of Malware Spreading in Wireless Multihop Networks with Churn},
author = {Vasileios Karyotis and Symeon Papavassiliou},
year = {2015},
date = {2015-01-01},
booktitle = {International Conference on Ad Hoc Networks},
pages = {63--74},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Karyotis, Vasileios; Papavassiliou, Symeon
Macroscopic malware propagation dynamics for complex networks with churn Journal Article
In: IEEE Communications Letters, vol. 19, no. 4, pp. 577–580, 2015.
BibTeX | Tags:
@article{karyotis2015macroscopic,
title = {Macroscopic malware propagation dynamics for complex networks with churn},
author = {Vasileios Karyotis and Symeon Papavassiliou},
year = {2015},
date = {2015-01-01},
journal = {IEEE Communications Letters},
volume = {19},
number = {4},
pages = {577--580},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, Eleni; Karyotis, Vasileios; Papavassiliou, Symeon
On the Impact of Network Evolution on NUM Resource Allocation Problems in Wireless Multihop Networks Proceedings Article
In: International Conference on Ad-Hoc Networks and Wireless, pp. 62–75, Springer, Cham 2015.
BibTeX | Tags:
@inproceedings{stai2015impact,
title = {On the Impact of Network Evolution on NUM Resource Allocation Problems in Wireless Multihop Networks},
author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
year = {2015},
date = {2015-01-01},
booktitle = {International Conference on Ad-Hoc Networks and Wireless},
pages = {62--75},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stai, Eleni; Karyotis, Vasileios; Papavassiliou, Symeon
User interest dictated information diffusion over generalized networks Proceedings Article
In: 2015 IEEE International Conference on Communication Workshop (ICCW), pp. 1569–1574, IEEE 2015.
BibTeX | Tags:
@inproceedings{stai2015user,
title = {User interest dictated information diffusion over generalized networks},
author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Communication Workshop (ICCW)},
pages = {1569--1574},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stai, Eleni; Karyotis, Vasileios; Papavassiliou, Symeon
Analysis and control of information diffusion dictated by user interest in generalized networks Journal Article
In: Computational Social Networks, vol. 2, no. 1, pp. 1–31, 2015.
BibTeX | Tags:
@article{stai2015analysis,
title = {Analysis and control of information diffusion dictated by user interest in generalized networks},
author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
year = {2015},
date = {2015-01-01},
journal = {Computational Social Networks},
volume = {2},
number = {1},
pages = {1--31},
publisher = {SpringerOpen},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Huang, G. -H.; Korfiatis, N.
Trying before buying: The moderating role of online reviews in trial attitude formation toward mobile applications Journal Article
In: International Journal of Electronic Commerce, vol. 19, no. 4, pp. 77-111, 2015, (cited By 74).
@article{Huang201577,
title = {Trying before buying: The moderating role of online reviews in trial attitude formation toward mobile applications},
author = {G. -H. Huang and N. Korfiatis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944320348&doi=10.1080%2f10864415.2015.1029359&partnerID=40&md5=05be036af388bbca85115ed7ee32b97e},
doi = {10.1080/10864415.2015.1029359},
year = {2015},
date = {2015-01-01},
journal = {International Journal of Electronic Commerce},
volume = {19},
number = {4},
pages = {77-111},
note = {cited By 74},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Korfiatis, N.; Zicari, R.; Lytras, M. D.
Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment Journal Article
In: Computers in Human Behavior, vol. 48, pp. 44-50, 2015, (cited By 2).
@article{Korfiatis201544,
title = {Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment},
author = {N. Korfiatis and R. Zicari and M. D. Lytras},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922425047&doi=10.1016%2fj.chb.2014.11.065&partnerID=40&md5=52a769f1e8f03932129d5aaf8ca24bba},
doi = {10.1016/j.chb.2014.11.065},
year = {2015},
date = {2015-01-01},
journal = {Computers in Human Behavior},
volume = {48},
pages = {44-50},
note = {cited By 2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kostagiolas, P. A.; Lavranos, C.; Korfiatis, N.; Papadatos, J.; Papavlasopoulos, S.
Music, musicians and information seeking behaviour: A case study on a community concert band Journal Article
In: Journal of Documentation, vol. 71, no. 1, pp. 3-24, 2015, (cited By 37).
@article{Kostagiolas20153,
title = {Music, musicians and information seeking behaviour: A case study on a community concert band},
author = {P. A. Kostagiolas and C. Lavranos and N. Korfiatis and J. Papadatos and S. Papavlasopoulos},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920911175&doi=10.1108%2fJD-07-2013-0083&partnerID=40&md5=238abdaf9f49432da77f8031ee5f2b0b},
doi = {10.1108/JD-07-2013-0083},
year = {2015},
date = {2015-01-01},
journal = {Journal of Documentation},
volume = {71},
number = {1},
pages = {3-24},
note = {cited By 37},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Karyotis, V.; Papavassiliou, S.
Analysis and control of information diffusion dictated by user interest in generalized networks Journal Article
In: Computational Social Networks, vol. 2, no. 1, 2015, ISSN: 21974314, (cited By 9).
Abstract | Links | BibTeX | Tags:
@article{Stai2015,
title = {Analysis and control of information diffusion dictated by user interest in generalized networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046497377&doi=10.1186%2fs40649-015-0025-4&partnerID=40&md5=0ae92df0fd82896146427461de5385ee},
doi = {10.1186/s40649-015-0025-4},
issn = {21974314},
year = {2015},
date = {2015-01-01},
journal = {Computational Social Networks},
volume = {2},
number = {1},
publisher = {SpringerOpen},
abstract = {The diffusion of useful information in generalized networks, such as those consisting of wireless physical substrates and social network overlays is very important for theoretical and practical applications. Contrary to previous works, we focus on the impact of user interest and its features (e.g., interest periodicity) on the dynamics and control of diffusion of useful information within such complex wireless-social systems. By considering the impact of temporal and topical variations of users interests, e.g., seasonal periodicity of interest in summer vacation advertisements which spread more effectively during Spring–Summer months, we develop an epidemic-based mathematical framework for modeling and analyzing such information dissemination processes and use three indicative operational scenarios to demonstrate the solutions and results that can be obtained by the corresponding differential equation-based formalism. We then develop an optimal control framework subject to the above information diffusion modeling that allows controlling the trade-off between information propagation efficiency and the associated cost, by considering and leveraging on the impact that user interests have on the diffusion processes. By analysis and extensive simulations, significant outcomes are obtained on the impact of each network layer and the associated interest parameters on the dynamics of useful information diffusion. Furthermore, several behavioral properties of the optimal control of the useful information diffusion with respect to the number of infected/informed nodes and the evolving user interest are shown through analysis and verified via simulations. Specifically, a key finding is that low interest-related diffusion can be aided by utilizing proper optimal controls. Our work in this paper paves the way towards this user-centered information diffusion framework. © 2015, Stai et al.},
note = {cited By 9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Karyotis, V.; Papavassiliou, S.
User interest dictated information diffusion over generalized networks Conference
Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781467363051, (cited By 3; Conference of IEEE International Conference on Communication Workshop, ICCW 2015 ; Conference Date: 8 June 2015 Through 12 June 2015; Conference Code:115891).
Abstract | Links | BibTeX | Tags: Differential equations, Epidemic modeling; Generalized networks; Information diffusion; Time varying; User interests, Information use
@conference{Stai20151569,
title = {User interest dictated information diffusion over generalized networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947782089&doi=10.1109%2fICCW.2015.7247403&partnerID=40&md5=8bce0fc40e131b95ca1f4d2950923df7},
doi = {10.1109/ICCW.2015.7247403},
isbn = {9781467363051},
year = {2015},
date = {2015-01-01},
journal = {2015 IEEE International Conference on Communication Workshop, ICCW 2015},
pages = {1569-1574},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this paper we address the diffusion of useful information in generalized networks each consisting of a wireless physical substrate and a social network overlay. Contrary to previous works, we consider the effect of user interest and features thereof on the spreading dynamics of useful information within these complex wireless-social networks, e.g., how interest periodicity affects the diffusion of summer vacation advertisements, etc. We develop an epidemic based mathematical framework for such processes and use three indicative operational scenarios to demonstrate the solutions and results that can be obtained by the corresponding differential equation based formalism. By analysis and simulation, significant outcomes were obtained on the impact of each topological layer and the associated interest parameters on the dynamics of information diffusion. © 2015 IEEE.},
note = {cited By 3; Conference of IEEE International Conference on Communication Workshop, ICCW 2015 ; Conference Date: 8 June 2015 Through 12 June 2015; Conference Code:115891},
keywords = {Differential equations, Epidemic modeling; Generalized networks; Information diffusion; Time varying; User interests, Information use},
pubstate = {published},
tppubtype = {conference}
}
Karyotis, V.; Papavassiliou, S.
Macroscopic malware propagation dynamics for complex networks with churn Journal Article
In: IEEE Communications Letters, vol. 19, no. 4, pp. 577-580, 2015, ISSN: 10897798, (cited By 22).
Abstract | Links | BibTeX | Tags: Complex networks, Computer crime; Malware; Queueing networks; Time varying networks, Developed model; Dynamic nodes; Limited energies; Malware attacks; Malware propagation; Network reliability; Network robustness; Product forms
@article{Karyotis2015577,
title = {Macroscopic malware propagation dynamics for complex networks with churn},
author = {V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927730777&doi=10.1109%2fLCOMM.2015.2399925&partnerID=40&md5=70ea29f069651e438d8b63decdc8a8f6},
doi = {10.1109/LCOMM.2015.2399925},
issn = {10897798},
year = {2015},
date = {2015-01-01},
journal = {IEEE Communications Letters},
volume = {19},
number = {4},
pages = {577-580},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this letter, a queueing-based approach for modeling malware propagation in complex networks with churn (dynamic node variation) is introduced. The proposed methodology captures the dynamics of SIS-type malware, especially in time-varying networks, where nodes enter and leave due to their limited energy reserves, or as the outcome of malware attacks. We demonstrate the developed model in various complex networks, showing how it can be exploited for analytically quantifying network reliability and further used for increasing the robustness of the network against generic malware attacks. © 2015 IEEE.},
note = {cited By 22},
keywords = {Complex networks, Computer crime; Malware; Queueing networks; Time varying networks, Developed model; Dynamic nodes; Limited energies; Malware attacks; Malware propagation; Network reliability; Network robustness; Product forms},
pubstate = {published},
tppubtype = {article}
}
Stai, E.; Karyotis, V.; Papavassiliou, S.
On the impact of network evolution on NUM resource allocation problems in wireless multihop networks Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9143, pp. 62-75, 2015, ISSN: 03029743, (cited By 0; Conference of 14th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2015 ; Conference Date: 29 June 2015 Through 1 July 2015; Conference Code:157969).
Abstract | Links | BibTeX | Tags: Ad hoc networks; Dynamics; Mobile ad hoc networks; Network layers; Resource allocation; Topology; Wireless networks, Cross-layer design; Network utility maximization; Network utility maximizations (NUM); Optimality; Realistic operational conditions; Resource allocation problem; Topology evolution; Wireless multi-hop network, Wireless ad hoc networks
@article{Stai201562,
title = {On the impact of network evolution on NUM resource allocation problems in wireless multihop networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
editor = {Ruehrup S. Papavassiliou S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949024570&doi=10.1007%2f978-3-319-19662-6_5&partnerID=40&md5=9f0317d3b63d47b67de012a4df648216},
doi = {10.1007/978-3-319-19662-6_5},
issn = {03029743},
year = {2015},
date = {2015-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {9143},
pages = {62-75},
publisher = {Springer Verlag},
abstract = {Network churn is one of the primary reasons for network topology evolution, creating a dynamic environment that all designed and developed mechanisms have to cope with. In this work, we focus on studying the impact of network evolution on the resource allocation mechanisms in wireless multihop networks, and thus set the scene for more pragmatic network optimization. More specifically, we study the impact of topology evolution in the form of node and edge churn on the Network Utility Maximization (NUM) mechanism, where the latter is employed as a form of intelligent resource allocation framework and implementation. Our study in this paper serves as a stepping stone for a more realistic consideration of cross-layer design, capable of coping with the dynamic nature of the evolutionary changes that take place in each network inevitably. This work aspires to stimulate the interest and further research on improving and developing network optimization and control mechanisms under more realistic operational conditions. © Springer International Publishing Switzerland 2015.},
note = {cited By 0; Conference of 14th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2015 ; Conference Date: 29 June 2015 Through 1 July 2015; Conference Code:157969},
keywords = {Ad hoc networks; Dynamics; Mobile ad hoc networks; Network layers; Resource allocation; Topology; Wireless networks, Cross-layer design; Network utility maximization; Network utility maximizations (NUM); Optimality; Realistic operational conditions; Resource allocation problem; Topology evolution; Wireless multi-hop network, Wireless ad hoc networks},
pubstate = {published},
tppubtype = {article}
}
Mikalef, P.; Pateli, A.; Batenburg, R. S.; Wetering, R. Van De
Purchasing alignment under multiple contingencies: A configuration theory approach Journal Article
In: Industrial Management and Data Systems, vol. 115, no. 4, pp. 625-645, 2015, (cited By 74).
@article{Mikalef2015625,
title = {Purchasing alignment under multiple contingencies: A configuration theory approach},
author = {P. Mikalef and A. Pateli and R. S. Batenburg and R. Van De Wetering},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929301553&doi=10.1108%2fIMDS-10-2014-0298&partnerID=40&md5=0fba4546958b248b9a503523b09ee0ec},
doi = {10.1108/IMDS-10-2014-0298},
year = {2015},
date = {2015-01-01},
journal = {Industrial Management and Data Systems},
volume = {115},
number = {4},
pages = {625-645},
note = {cited By 74},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, P. E.; Mikalef, P.; Ioannidou, M.; Pateli, A.
Exploring the online satisfaction gap of medical doctors: An expectation-confirmation investigation of information needs Journal Article
In: Advances in Experimental Medicine and Biology, vol. 820, pp. 217-228, 2015, (cited By 7).
@article{Kourouthanassis2015217,
title = {Exploring the online satisfaction gap of medical doctors: An expectation-confirmation investigation of information needs},
author = {P. E. Kourouthanassis and P. Mikalef and M. Ioannidou and A. Pateli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912102822&doi=10.1007%2f978-3-319-09012-2_15&partnerID=40&md5=f2033b8935a32de0cf4c6118e9b818f8},
doi = {10.1007/978-3-319-09012-2_15},
year = {2015},
date = {2015-01-01},
journal = {Advances in Experimental Medicine and Biology},
volume = {820},
pages = {217-228},
note = {cited By 7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2014
Christopoulou, Eleni; Ringas, Dimitrios; Garofalakis, John
The vision of the sociable smart city Proceedings Article
In: International Conference on Distributed, Ambient, and Pervasive Interactions, pp. 545–554, Springer International Publishing 2014.
BibTeX | Tags:
@inproceedings{christopoulou2014vision,
title = {The vision of the sociable smart city},
author = {Eleni Christopoulou and Dimitrios Ringas and John Garofalakis},
year = {2014},
date = {2014-01-01},
booktitle = {International Conference on Distributed, Ambient, and Pervasive Interactions},
pages = {545--554},
organization = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kourouthanassis, Panos E; Georgiadis, Christos K
Analysing m-commerce research: technology, applications and research themes Journal Article
In: International journal of mobile communications, vol. 12, no. 1, pp. 1–11, 2014.
BibTeX | Tags:
@article{kourouthanassis2014analysing,
title = {Analysing m-commerce research: technology, applications and research themes},
author = {Panos E Kourouthanassis and Christos K Georgiadis},
year = {2014},
date = {2014-01-01},
journal = {International journal of mobile communications},
volume = {12},
number = {1},
pages = {1--11},
publisher = {Inderscience Publishers Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappas, Ilias O; Kourouthanassis, Panos E; Giannakos, Michail N; Chrissikopoulos, Vassilios
Shiny happy people buying: the role of emotions on personalized e-shopping Journal Article
In: Electronic Markets, vol. 24, pp. 193–206, 2014.
BibTeX | Tags:
@article{pappas2014shiny,
title = {Shiny happy people buying: the role of emotions on personalized e-shopping},
author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},
year = {2014},
date = {2014-01-01},
journal = {Electronic Markets},
volume = {24},
pages = {193--206},
publisher = {Springer Berlin Heidelberg},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kostagiolas, Petros; Korfiatis, Nikolaos; Kourouthanasis, Panos; Alexias, Georgios
Work-related factors influencing doctors search behaviors and trust toward medical information resources Journal Article
In: International Journal of Information Management, vol. 34, no. 2, pp. 80–88, 2014.
BibTeX | Tags:
@article{kostagiolas2014work,
title = {Work-related factors influencing doctors search behaviors and trust toward medical information resources},
author = {Petros Kostagiolas and Nikolaos Korfiatis and Panos Kourouthanasis and Georgios Alexias},
year = {2014},
date = {2014-01-01},
journal = {International Journal of Information Management},
volume = {34},
number = {2},
pages = {80--88},
publisher = {Pergamon},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kourouthanassis, Panos E; Mikalef, Patrick; Ioannidou, Margarita; Pateli, Adamantia
Exploring the online satisfaction gap of medical doctors: an expectation-confirmation investigation of information needs Book Section
In: Genedis 2014: Computational Biology and Bioinformatics, pp. 217–228, Springer International Publishing Cham, 2014.
BibTeX | Tags:
@incollection{kourouthanassis2014exploring,
title = {Exploring the online satisfaction gap of medical doctors: an expectation-confirmation investigation of information needs},
author = {Panos E Kourouthanassis and Patrick Mikalef and Margarita Ioannidou and Adamantia Pateli},
year = {2014},
date = {2014-01-01},
booktitle = {Genedis 2014: Computational Biology and Bioinformatics},
pages = {217--228},
publisher = {Springer International Publishing Cham},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}