Περιοδικά

@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}

}

@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 = {},

pubstate = {published},

tppubtype = {article}

}

@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 = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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 = {},

pubstate = {published},

tppubtype = {article}

}

@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 = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@article{kourouthanassis2014adoption,

title = {Adoption behaviour differences for mobile data services: m-internet vs. m-portals},

author = {Panos E Kourouthanassis and George M Giaglis and Dimitrios Karaiskos and Efpraxia Zamani},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Mobile Communications},

volume = {12},

number = {3},

pages = {207--228},

publisher = {Inderscience Publishers Ltd},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{anifantis2014spatio,

title = {A spatio-stochastic framework for cross-layer design in cognitive radio networks},

author = {Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou},

year  = {2014},

date = {2014-01-01},

journal = {IEEE Transactions on Parallel and Distributed Systems},

volume = {25},

number = {11},

pages = {2762--2771},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2014towards,

title = {Towards Emotional Satisfaction in Social Network Services Use},

author = {Ilias O Pappas and Panos Kourouthanassis and Sofia Papavlasopoulou},

year  = {2014},

date = {2014-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2014exploiting,

title = {Exploiting socio-physical network interactions via a utility-based framework for resource management in mobile social networks},

author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

year  = {2014},

date = {2014-01-01},

journal = {IEEE Wireless Communications},

volume = {21},

number = {1},

pages = {10--17},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arkoulis2014discovering,

title = {Discovering and exploiting spectrum power correlations in cognitive radio networks: an experimentally driven approach},

author = {Stamatios Arkoulis and Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou and Nikolaos Mitrou},

year  = {2014},

date = {2014-01-01},

journal = {EURASIP Journal on Wireless Communications and Networking},

volume = {2014},

number = {1},

pages = {1--14},

publisher = {SpringerOpen},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2014m,

title = {M-COMMERCE RESEARCH},

author = {Panos E KOUROUTHANASSIS and Christos K GEORGIADIS},

year  = {2014},

date = {2014-01-01},

journal = {International journal of mobile communications (Print)},

volume = {12},

number = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{anifantis2014exploiting,

title = {Exploiting social features for improving cognitive radio infrastructures and social services via combined MRF and back pressure cross-layer resource allocation},

author = {Evangelos Anifantis and Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

year  = {2014},

date = {2014-01-01},

journal = {Computational Social Networks},

volume = {1},

number = {1},

pages = {1--27},

publisher = {SpringerOpen},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{korfiatis2014work,

title = {Work-related factors influencing doctors search behaviors and trust toward medical information resources},

author = {Nikolaos Korfiatis and Panos Kourouthanasis and George Alexias and Petros Kostagiolas},

year  = {2014},

date = {2014-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mertz2014146,

title = {Using dependency bigrams and discourse connectives for predicting the helpfulness of online reviews},

author = {M. Mertz and N. Korfiatis and R. V. Zicari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927759943&doi=10.1007%2f978-3-319-10491-1_15&partnerID=40&md5=331cf82d30606122e619af6f00627b69},

doi = {10.1007/978-3-319-10491-1_15},

year  = {2014},

date = {2014-01-01},

journal = {Lecture Notes in Business Information Processing},

volume = {188},

pages = {146-152},

note = {cited By 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kostagiolas201480,

title = {Work-related factors influencing doctors search behaviors and trust toward medical information resources},

author = {P. Kostagiolas and N. Korfiatis and P. Kourouthanasis and G. Alexias},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890935273&doi=10.1016%2fj.ijinfomgt.2013.11.009&partnerID=40&md5=3cae18dcd76c81f5755266e29efff789},

doi = {10.1016/j.ijinfomgt.2013.11.009},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Information Management},

volume = {34},

number = {2},

pages = {80-88},

note = {cited By 35},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Anifantis2014,

title = {Exploiting social features for improving cognitive radio infrastructures and social services via combined MRF and back pressure cross-layer resource allocation},

author = {E. Anifantis and E. Stai and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029244666&doi=10.1186%2fs40649-014-0004-1&partnerID=40&md5=c42a9d50f41455d96e48947cf21d6431},

doi = {10.1186/s40649-014-0004-1},

issn = {21974314},

year  = {2014},

date = {2014-01-01},

journal = {Computational Social Networks},

volume = {1},

number = {1},

publisher = {SpringerOpen},

abstract = {The observed unbalance of spectrum utilization combined with the proliferation of wireless devices and the growth of online social networks call for a joint study of cognitive radios (CRs) and social networking towards improving the operation of both the underlying CR-capable communications infrastructures and of the corresponding dynamic networks. In this work, we address such issue and focus on the twofold direction of resource allocation in CRs and social feature exploitation with the aim of providing a holistic cross-layer optimization framework that jointly considers information from the social layer as well as the traditional network protocol layers. We combine Markov random field (MRF) cross-layer decisions with back pressure (BP) features for the allocation of resources, in order to improve the operation of CRs that act as social network substrate. Espousing the recent advances in the field of dynamic spectrum allocation, the proposed BP-enhanced MRF (BPeMRF) network optimization serves the purpose of improving in a low complexity manner the capacity of agile infrastructures, which are required to adapt fast according to the demands of the volatile CR environment and the overlaying dynamic online social networks. In addition, within the proposed socially enhanced BPeMRF (SeBPeMRF) approach, we leverage emerging social information to further enhance performance. The obtained results exhibit the efficacy of BPeMRF/SeBPeMRF regarding the above objectives and demonstrate significant promise for further improving the corresponding infrastructures and services. © 2014, Anifantis et al.; licensee Springer.},

note = {cited By 8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Anifantis20142762,

title = {A spatio-stochastic framework for cross-layer design in cognitive radio networks},

author = {E. Anifantis and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908084132&doi=10.1109%2fTPDS.2013.2297108&partnerID=40&md5=9868e8f746e1006f0805ae57204a9eeb},

doi = {10.1109/TPDS.2013.2297108},

issn = {10459219},

year  = {2014},

date = {2014-01-01},

journal = {IEEE Transactions on Parallel and Distributed Systems},

volume = {25},

number = {11},

pages = {2762-2771},

publisher = {IEEE Computer Society},

abstract = {In this paper, we address the problem of distributed resource management for secondary users in Cognitive Radio Networks (CRNs), through a topology aware and frequency agile cross-layer approach. We exploit the theory of spatial processes and propose a Markov Random Field (MRF) based framework, which enables secondary CRN users to achieve efficient and viable mechanisms in the lower protocol stack layers by exchanging local only information. Specifically, through Gibbs sampling secondary users can optimize in a distributed and parallel manner their channel allocation, medium access and routing without resolving to otherwise computationally demanding optimization approaches. Through analysis and simulation we exhibit the efficacy of the proposed framework and show that a semi-parallel implementation can significantly reduce the required overhead cost compared to the sequential Gibbs sampling approach, while retaining a very close performance to the latter. We also study the emerging trade-offs by demonstrating the performance benefits in terms of channel assignment, medium access and data flow. © 2014 IEEE.},

note = {cited By 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mavromoustakis2014285,

title = {Cross-Layer Based Resource Management Frameworks for Mobile Cognitive Radio Networks},

author = {C. X. Mavromoustakis and E. Pallis and G. Mastorakis and V. Karyotis and E. Anifantis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959362682&doi=10.1007%2f978-3-319-06704-9-13&partnerID=40&md5=be185735c550b2ac5ccdb7fb9dfb5aa2},

doi = {10.1007/978-3-319-06704-9-13},

issn = {21967326},

year  = {2014},

date = {2014-01-01},

journal = {Modeling and Optimization in Science and Technologies},

volume = {3},

pages = {285-322},

publisher = {Springer Verlag},

abstract = {Resource management has been one of the most important aspects of Mobile Cognitive Radio Networks (MCRNs) since their inception. It engulfs fundamental network operations such as spectrum management, bandwidth allocation, channel access, data routing, transmission power assignment and energy management. All such mechanisms are necessary for achieving the delay/throughput requirements desired by modern network services and users. Compared to traditional wireless mobile networks, the MCRN environment poses additional challenges and complicated requirements to the above functions and resource management in general, which eventually lead to an urgent need for reconsideration of the employed wireless protocol stack. The objective in MCRNs would be to apply more efficient protocol hierarchies and achieve better management of the common available resources for both secondary and primary users, at the minimum possible cost and by leaving the minimum possible resource footprint, as required for all modern communications systems. The cross-layer design approach has been proven extremely useful towards this direction, especially for network types such as sensor, mesh and cognitive radios. It allowed exploiting the most appropriate network mechanisms, while bypassing monolithic and outdated requirements when possible. In this chapter, we focus exactly on this aspect of protocol architectures and network management, and present state-of-the-art cross-layer based resource management approaches for MCRNs. Initially, we present three important resource management frameworks, and then we provide directions for developing generic and adaptive resource management protocol architectures for MCRNs, based on cross-layer and component-based design principles emerging from the previously presented approaches. This is the first attempt to highlight the suitability of combining cross-layer with component-based network design, and this work will also sketch qualitatively the potential benefits of such approach. Finally, some practical considerations for the proposed architecture, along with directions for future research conclude the chapter. © 2014 Springer International Publishing Switzerland.},

note = {cited By 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Karyotis201463,

title = {Evaluation of malware spreading in wireless multihop networks with churn},

author = {V. Karyotis and S. Papavassiliou},

editor = {Papavassiliou S. Gallais A. Mitton N.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915750171&doi=10.1007%2f978-3-319-13329-4_6&partnerID=40&md5=a87d7ee86d6d9c71332184f75a466edb},

doi = {10.1007/978-3-319-13329-4_6},

issn = {18678211},

year  = {2014},

date = {2014-01-01},

journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},

volume = {140},

pages = {63-74},

publisher = {Springer Verlag},

abstract = {Modeling malware spreading in wireless networks has attracted significant interest lately, since this will increase the robustness of such networks that constitute the lion’s share of Internet access nowadays. However, all of previous works have considered networks with fixed number of devices. In this work, we focus on users that can dynamically join and leave the network (node churn) as a result of the effects of malware, or their own operation, i.e. energy depletion. We adopt and adapt a queuing-based model for malware spreading for the case of wireless distributed networks with churn. The corresponding methodology captures the dynamics of SIS-type malware, where nodes are always prone to receive new or already spreading infections over a long period. The employed framework can be exploited for quantifying network reliability and study network behavior, which can be further used for increasing the robustness of the system against the most severe attacks. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.},

note = {cited By 3; Conference of 6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014 ; Conference Date: 18 August 2014 Through 19 August 2014; Conference Code:111559},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arkoulis2014,

title = {Discovering and exploiting spectrum power correlations in cognitive radio networks: An experimentally driven approach},

author = {S. Arkoulis and E. Anifantis and V. Karyotis and S. Papavassiliou and N. Mitrou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898839082&doi=10.1186%2f1687-1499-2014-17&partnerID=40&md5=4789636b51a25eda2ceb6d599b8fbb4d},

doi = {10.1186/1687-1499-2014-17},

issn = {16871472},

year  = {2014},

date = {2014-01-01},

journal = {Eurasip Journal on Wireless Communications and Networking},

volume = {2014},

publisher = {Hindawi Publishing Corporation},

abstract = {In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks. © 2014 Arkoulis et al.; licensee Springer.},

note = {cited By 6},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stai201410,

title = {Exploiting socio-physical network interactions via a utility-based framework for resource management in mobile social networks},

author = {E. Stai and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896446369&doi=10.1109%2fMWC.2014.6757892&partnerID=40&md5=f25c02100f1cd76420991d05f7580ad9},

doi = {10.1109/MWC.2014.6757892},

issn = {15361284},

year  = {2014},

date = {2014-01-01},

journal = {IEEE Wireless Communications},

volume = {21},

number = {1},

pages = {10-17},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Mobile social networks have the lion's share in modern mobile telecommunications, and their interaction with the underlying infrastructure networks has attracted significant attention due to its impact on resource management. In this article, we present and demonstrate a framework for addressing such interplay between online social networks and wireless communications by exploiting principles from the theory of utility-based engineering and elements from social network analysis. We aim at a holistic design framework that allows the joint development of improved resource management mechanisms for future mobile wireless infrastructures and their social counterparts. We demonstrate the proposed methodology and reveal the key aspects of designing and exploiting convenient utility functions within the framework of network science in order to better manage the available resources, improve infrastructures, and eventually obtain from them the maximum possible benefit. We establish the above principles and emerging design potentials in future complex networks by presenting two tangible examples where personalized advertising and topology control in MSNs are used to exploit and validate different network and individual socio-utility maximization features, respectively. © 2014 IEEE.},

note = {cited By 16},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pappas2014187,

title = {Moderating effects of online shopping experience on customer satisfaction and repurchase intentions},

author = {I. O. Pappas and A. G. Pateli and M. N. Giannakos and V. Chrissikopoulos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918822624&doi=10.1108%2fIJRDM-03-2012-0034&partnerID=40&md5=7d9ac2c7d121c0e2d415d164b88c6936},

doi = {10.1108/IJRDM-03-2012-0034},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Retail and Distribution Management},

volume = {42},

number = {3},

pages = {187-204},

note = {cited By 190},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Panayiotis2014237,

title = {Hybrid model for measurement of building vulnerability},

author = {V. Panayiotis and P. Adamantia and P. Maria},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907006712&doi=10.4028%2fwww.scientific.net%2fKEM.628.237&partnerID=40&md5=9079d0d4f9ee4e4bf505ac482efedd7c},

doi = {10.4028/www.scientific.net/KEM.628.237},

year  = {2014},

date = {2014-01-01},

journal = {Key Engineering Materials},

volume = {628},

pages = {237-242},

note = {cited By 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef201443,

title = {Business alignment in the procurement domain: A study of antecedents and determinants of supply chain performance},

author = {P. Mikalef and A. Pateli and R. Batenburg and R. Wetering},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904869219&doi=10.12821%2fijispm020103&partnerID=40&md5=30b232635d5a6969aeea950d922c1eff},

doi = {10.12821/ijispm020103},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Information Systems and Project Management},

volume = {2},

number = {1},

pages = {43-59},

note = {cited By 21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{christopoulou2013learning,

title = {Learning Activities in a Sociable Smart City.},

author = {Eleni Christopoulou and Dimitrios Ringas},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

journal = {IxD&A},

volume = {17},

pages = {29--42},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arkoulis2013optimal,

title = {On the optimal, fair and channel-aware cognitive radio network reconfiguration},

author = {Stamatios Arkoulis and Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou and Nikolaos Mitrou},

year  = {2013},

date = {2013-01-01},

journal = {Computer Networks},

volume = {57},

number = {8},

pages = {1739--1757},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bardaki2013information,

title = {An information quality evaluation framework of object tracking systems},

author = {Cleopatra Bardaki and Panos Kourouthanassis and Katerina Pramatari and Georgios Doukidis},

year  = {2013},

date = {2013-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cheng2013diffusion,

title = {Diffusion models for information dissemination dynamics in wireless complex communication networks},

author = {Shin-Ming Cheng and Vasileios Karyotis and Pin-Yu Chen and Kwang-Cheng Chen and Symeon Papavassiliou},

year  = {2013},

date = {2013-01-01},

journal = {Journal of Complex Systems},

volume = {2013},

publisher = {Hindawi},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann201328,

title = {Evaluating the energy efficiency of OLTP operations: A case study on PostgreSQL},

author = {R. Niemann and N. Korfiatis and R. Zicari and R. Göbel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885725753&doi=10.1007%2f978-3-642-40511-2_3&partnerID=40&md5=37d7c26c533c028157ef1d8ecc11a4e0},

doi = {10.1007/978-3-642-40511-2_3},

year  = {2013},

date = {2013-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {8127 LNCS},

pages = {28-43},

note = {cited By 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wu20132069,

title = {You scratch someone's back and we'll scratch yours: Collective reciprocity in social Q&A communities},

author = {P. F. Wu and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883851165&doi=10.1002%2fasi.22913&partnerID=40&md5=5bee4395f5becd00f153d0bd3d3a06c6},

doi = {10.1002/asi.22913},

year  = {2013},

date = {2013-01-01},

journal = {Journal of the American Society for Information Science and Technology},

volume = {64},

number = {10},

pages = {2069-2077},

note = {cited By 33},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Korfiatis20135507,

title = {Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews},

author = {N. Korfiatis and M. Poulos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877869306&doi=10.1016%2fj.eswa.2013.03.046&partnerID=40&md5=5ea51355fa48c961296bb716d022b56d},

doi = {10.1016/j.eswa.2013.03.046},

year  = {2013},

date = {2013-01-01},

journal = {Expert Systems with Applications},

volume = {40},

number = {14},

pages = {5507-5515},

note = {cited By 46},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Korfiatis2013225,

title = {Big Data for Enhanced Learning Analytics: A Case for Large-Scale Comparative Assessments},

author = {N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904692037&doi=10.1007%2f978-3-319-03437-9_23&partnerID=40&md5=69fc2ba2f779f7de48581dd6c101d944},

doi = {10.1007/978-3-319-03437-9_23},

year  = {2013},

date = {2013-01-01},

journal = {Communications in Computer and Information Science},

volume = {390 CCIS},

pages = {225-233},

note = {cited By 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arkoulis20131739,

title = {On the optimal, fair and channel-aware cognitive radio network reconfiguration},

author = {S. Arkoulis and E. Anifantis and V. Karyotis and S. Papavassiliou and N. Mitrou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878115702&doi=10.1016%2fj.comnet.2013.03.004&partnerID=40&md5=f0b5125bfb88b55dda37a775e106f7ff},

doi = {10.1016/j.comnet.2013.03.004},

issn = {13891286},

year  = {2013},

date = {2013-01-01},

journal = {Computer Networks},

volume = {57},

number = {8},

pages = {1739-1757},

abstract = {In this work, we focus on the Joint Channel Assignment and Routing (JCAR) problem in Cognitive Radio Networks (CRNs) and especially on the optimal reconfiguration of secondary networks under the presence of primary users. Secondary CRN users need to adapt their transmission channels promptly, while effectively limit additional or escalating system modifications triggered by the intertweaved primary user activity. Our approach takes into consideration the underlying spectrum switching dynamics and concurrently aims at a fair resource allocation among the active network flows. We take an optimization perspective and formulate the JCAR and network reconfiguration problems as mixed integer linear programs, addressing fairness concerns as well. We propose a heuristic approach which is based on a sequential reduced search space methodology, in order to obtain efficiently solutions of otherwise tough and demanding reconfiguration problems. The operation, effectiveness and performance of the proposed mechanisms are evaluated through analysis and simulations under various working conditions. The obtained numerical results indicate the benefits of the proposed schemes in terms of overhead performance and their scaling properties with respect to more realistic and thus demanding topologies. © 2013 Elsevier B.V. All rights reserved.},

note = {cited By 16},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yfantis2013157,

title = {The influential factors of M-government's adoption in the developing countries},

author = {V. Yfantis and K. Vassilopoulou and A. Pateli and A. Usoro},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883174585&doi=10.1007%2f978-3-642-40276-0_13&partnerID=40&md5=ebbe902a4b7e903f7d641c3de4002320},

doi = {10.1007/978-3-642-40276-0_13},

year  = {2013},

date = {2013-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {8093 LNCS},

pages = {157-171},

note = {cited By 6},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef2013112,

title = {Why are users of social media inclined to Word-of-Mouth?},

author = {P. Mikalef and A. Pateli and M. Giannakos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883006650&doi=10.1007%2f978-3-642-37437-1_10&partnerID=40&md5=a517ab1d0739ec67aae5c5bae743bcdb},

doi = {10.1007/978-3-642-37437-1_10},

year  = {2013},

date = {2013-01-01},

journal = {IFIP Advances in Information and Communication Technology},

volume = {399},

pages = {112-123},

note = {cited By 12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}