By the structure of call graphs derived from huge amounts of Call Detail Records, we can find out the social communities in the call graphs and make different market strategies for these social communities in real telecom applications. However, traditional telecom business intelligence methods are short of ways to understand the social interactions. To fill this gap, we propose a Telecom Community Visual Analysis prototype tool, called TeleComVis, to analyze the call graphs derived from Call Detail Records. In the demo, we will show (1) the functions of TeleComVis; (2) the critical techniques of finding statistically significant communities in real-world telecom applications. Using TeleComVis, users can both analyze the statistical properties of massive call graphs and explore the statistically significant communities and the temporal links interactively. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Ye, Q., Wu, B., Suo, L., Zhu, T., Han, C., & Wang, B. (2009). TeleComVis: Exploring temporal communities in telecom networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5782 LNAI, pp. 755–758). https://doi.org/10.1007/978-3-642-04174-7_57
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