@inproceedings{851d5adc4f2d46b4bbb77a92ac7e824a,
title = "Community detection in cellular network traces",
abstract = "Studies of user behavior in cellular networks have served as a knowledge base for development of critical applications and services catered to specific user needs. In this paper we examine community persistence in egocentric social graphs extracted from cellular network traces in the Cote d'Ivoire provided by Orange. The goal of our study is to inform mechanisms for improved dissemination of information by identifying subscribers or groups that can serve as information relays. We find that communities that persist in an egocentric network are independent of one another. Thus, multiple information relays can be selected from each independent community, to increase the probability that information will flow to the ego.",
keywords = "Cellular networks, Community detection, Egocentric graphs, Temporal graph mining",
author = "Mariya Zheleva and Paul Schmitt and Morgan Vigil and Elizabeth Belding",
year = "2013",
doi = "10.1145/2517899.2517932",
language = "English (US)",
isbn = "9781450319072",
series = "ACM International Conference Proceeding Series",
pages = "183--186",
booktitle = "Proceedings of the 6th International Conference on Information and Communications Technologies and Development, ICTD 2013",
note = "6th International Conference on Information and Communications Technologies and Development, ICTD 2013 ; Conference date: 07-12-2013 Through 10-12-2013",
}