(2015). User interest dictated information diffusion over generalized networks. In 2015 IEEE International Conference on Communication Workshop (ICCW) (pp. 1569–1574). https://doi.org/10.1109/ICCW.2015.7247403
Περίληψη
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.
- DOI
- 10.1109/ICCW.2015.7247403
- ISBN
- 9781467363051
- Τύπος
- Άρθρο σε Πρακτικά Συνεδρίου
- Έτος
- 2015
Σύνδεσμοι
BibTeX
@inproceedings{stai2015user,
title = {User interest dictated information diffusion over generalized networks},
author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
url = {https://doi.org/10.1109/ICCW.2015.7247403},
doi = {10.1109/ICCW.2015.7247403},
isbn = {9781467363051},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {2015 IEEE International Conference on Communication Workshop (ICCW)},
pages = {1569--1574},
organization = {IEEE},
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.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}