On the structural properties of massive telecom call graphs: findings and implications
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Statistical properties of community structure in large social and information networks
Proceedings of the 17th international conference on World Wide Web
Planetary-scale views on a large instant-messaging network
Proceedings of the 17th international conference on World Wide Web
Analyzing the Structure and Evolution of Massive Telecom Graphs
IEEE Transactions on Knowledge and Data Engineering
TeleComVis: Exploring Temporal Communities in Telecom Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Mining communities in networks: a solution for consistency and its evaluation
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
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In this paper, we present a multi-level empirical study of locality structures of several temporal call graphs containing both mobile and fixed-line call graphs emphasizing on comparing the patterns of these two types of call graphs. We investigate the topological patterns of the cohesive subgraphs in a mesoscopic scale, and we find several novel patterns in these call graphs. We study the correlation between the link weights and their localities. To our surprise, we can find there is nearly no correlation between link weights and their edge betweenness values. We also find that in the network of communities, communities' sizes and betweenness centralities are highly positively correlated, which indicates large communities tend to be in the center of the call networks. Our analysis also suggests that 'small-world' phenomenon still exists in the community-based networks.We believe that our analysis results will help Telecom operators have better understanding of their customers.