Mining community in social network using call detail records

Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

Volumn , Issue , 2012, Pages 1641-1645

  Hu, Zhiwen ^a   Wang, Xianming ^a   Xu, Ke ^b  

^a WENZHOU UNIVERSITY   (China)

^b SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES   (China)

Author keywords

Campus Mobile Network; Community Detection; Social network

Indexed keywords

CALL DETAIL RECORDS; COMMUNITY DETECTION; COMMUNITY DETECTION ALGORITHMS; EMPIRICAL STUDIES; MINING COMMUNITIES; MOBILE SOCIAL NETWORKS; PROPOSAL ALGORITHM; SMALL COMMUNITY; SOCIAL NETWORKS; WIRELESS TECHNOLOGIES;

CLUSTERING ALGORITHMS; FUZZY SYSTEMS; MOBILE DEVICES; POPULATION DYNAMICS; WIRELESS TELECOMMUNICATION SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 84872928130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2012.6233712     Document Type: Conference Paper

References (22)

1. M. Kimura and K. Saito. Tractable models for information diffusion in social networks. In PKDD 2006, LNAI 4213, pages 259-271, 2006.
2. M. F. Schwartz and D. C. M. Wood. Discovering shared interests using graph analysis. Communications of the ACM, 36(8):78-89, 1993.
3. H. Kautz, B. Selman, and A. Milewski. Agent amplified communication. In Proceedings of AAAI-96, pages 3-9, 1996.
4. P. Domingos and M. Richardson. Mining the network value of customers. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pages 57-66. ACM Press, 2001.
5. S. Milgram. The small world problem. Psychology Today, 2:60-67, 1967.
6. H. Kautz, B. Selman, and M. Shah. Referral web: Combining social networks and collaborative filtering. Communications of the ACM, 40(3):63-65, 1997.
7. H. Ma, H. Yang, M. R. Lyu, and I. King. Mining social networks using heat diffusion processes for marketing candidates selection. In CIKM, pages 233-242, 2008.
8. D. Kempe, J. Kleinberg, and E. Tardos. Influential nodes in a diffusion model for social networks. In International colloquium on automata, languages and programming No32, pages 1127-1138, 2005.
9. W.-J. Zhou, J.-R. Wen, W.-Y. Ma, and H.-J. Zhang. A concentriccircle model for community mining. Technical report, Microsoft Research, 2002.
10. A. Popescul, G. W. Flake, S. Lawrence, L. H. Ungar, and C. L. Giles. Clustering and identifying temporal trends in document databases. In IEEE Advances in Digital Libraries, 2000.
11. A. Clauset, M. E. J. Newman, and C. Moore. Finding community structure in very large networks. Physical Review E, 70, 2004.
12. Kimura, M.; Saito, K.; Nakano, R.; and Motoda, H. Extracting influential nodes on a social network for information diffusion. Data Mining and Knowledge Discovery page 20:70-97, 2010.
13. G. Kossinets and D. J. Watts. Empirical Analysis of an Evolving Social Network. Science 311: 88-90, 2006.
14. W. Aiello, F. Chung, L. Lu. A random graph model for massive graphs, Annual ACM Symposium on Theory of Computing, Proceedings of the thirty-second annual ACM symposium on Theory of computing: 171-180, 2000.
15. C. Bird, A. Gourley, P. Devanbu, M. Gertz, and A. Swaminathan. Mining email social networks. In Proceedings of the 3rd International Workshop on Mining Software Repositories, 2006.
16. N. Eagle, A. Pentland, and D. Lazer. Inferring Social Network Structure using Mobile Phone Data. Proceedings of the National Academy of Sciences (PNAS) 106(36), pages 15274-15278, 2009.
17. N. Eagle, A. Pentland. Reality Mining: Sensing Complex Social Systems. Personal and Ubiquitous Computing, 10(4): 255-268, 2006.
18. Z. B. Dong, G. J. Song, K. Q. Xie, and J. Y. Wang. An experimental study of large-scale mobile social network. In WWW, pages 1175-1176, 2009.
19. M. E. J. Newman. Modularity and community structure in networks. Proc. Natl. Acad. Sci. USA 103, 8577-8582 (2006).
20. M. E. J. Newman. Detecting community structure in networks. Eur. Phys. J. B 38, 321-330 (2004).
21. J. H. Ward. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301):236-244, 1963.
22. M. Jambu and Lebeaux M.-O. Cluster analysis and data analysis. North Holland Publishing, 1983.