Mining communities of acquainted mobile users on call detail records

Wei Guang Teng, Ming Chia Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In a telecommunication system, call detail records (i.e., CDRs) are generated automatically for tracking and billing purposes when mobile users having calls. To further investigate the information buried in huge amounts of CDRs, relationship among mobile users can be organized. Specifically, communities of acquainted mobile users can be effectively discovered from collected CDRs through our approach proposed in this paper. Note that understanding the communities and corresponding calling behaviors are of great importance to telecommunication companies. To conduct proper community mining on CDRs, techniques of data transformation and social network analysis are fully exploited. Our study shows that the proposed approach is practically feasible.

Original languageEnglish
Title of host publicationProceedings of the 2007 ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages957-958
Number of pages2
ISBN (Print)1595934804, 9781595934802
DOIs
Publication statusPublished - 2007
Event2007 ACM Symposium on Applied Computing - Seoul, Korea, Republic of
Duration: 2007 Mar 112007 Mar 15

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other2007 ACM Symposium on Applied Computing
Country/TerritoryKorea, Republic of
CitySeoul
Period07-03-1107-03-15

All Science Journal Classification (ASJC) codes

  • Software

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