Online user activities discovery based on time dependent data

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009

Volumn 4, Issue , 2009, Pages 106-113

  Hong, Dan ^a   Shen, Vincent Y ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Social networks; Time dependent; User activities

Indexed keywords

ACCESS HISTORY; ACTIVITY PATTERNS; DAILY ACTIVITY; DYNAMIC NATURE; HOT RESEARCH TOPICS; NETWORK EVOLUTION; ON TIME; ONLINE USERS; SINGLE USERS; SOCIAL NETWORKING; SOCIAL NETWORKS; TIME DEPENDENT; TIME SERIES MODELS; USER ACTIVITY; USER BEHAVIORS; WEB APPLICATION; WEB USERS;

COMPUTER SCIENCE; TIME SERIES; WORLD WIDE WEB;

BEHAVIORAL RESEARCH;

EID: 70849103107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2009.313     Document Type: Conference Paper

References (18)

1. E. Ravasz and A. Barabasi, "Hierarchical organization in complex networks, " Physical Reviews, vol. 67, p. 026112, 2003.
2. R. Kumar, P. Raghavan, S. Rajagopalan, D. Sivakumar, A. Tomkins, and E. Upfal, "Stochastic models for the web graph, " in FOCS '00: Proceedings of the 41st Annual Symposium on Foundations of Computer Science. Washington, DC, USA: IEEE Computer Society, 2000, p. 57.
3. A.-L. Barabási and R. Albert, "Emergence of scaling in random networks, " Science, vol. 286, no. 5439, pp. 509-512, October 1999.
4. D. Chakrabarti, R. Kumar, and A. Tomkins, "Evolutionary clustering, " in KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM, 2006, pp. 554-560.
5. L. Backstrom, D. Huttenlocher, J. Kleinberg, and X. Lan, "Group formation in large social networks: membership, growth, and evolution, " in KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM, 2006, pp. 44-54.
6. G. Palla, A. L. Barabasi, and T. Vicsek, "Quantifying social group evolution, " Nature, vol. 446, no. 7136, pp. 664-667, Apr 5 2007.
7. J. Sun, C. Faloutsos, S. Papadimitriou, and P. S. Yu, "Graphscope: parameter-free mining of large time-evolving graphs, " in KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM, 2007, pp. 687-696. (Pubitemid 350229254)
8. Y.-R. Lin, Y. Chi, S. Zhu, H. Sundaram, and B. L. Tseng, "Facetnet: a framework for analyzing communities and their evolutions in dynamic networks, " in WWW '08: Proceeding of the 17th international conference on World Wide Web. New York, NY, USA: ACM, 2008, pp. 685-694.
9. S. S. Levine and R. Kurzban, "Explaining clustering in social networks: towards an evolutionary theory of cascading benefits, " Managerial and Decision Economics, vol. 27, no. 2-3, pp. 173-187, 2006. [Online]. Available: http://ideas.repec.org/a/wly/mgtdec/v27y2006i2-3p173-187. html.
10. D. Hong, M. Yuan, and V. Y. Shen, "Dynamic privacy management: a plug-in service for the middleware in pervasive computing, " in MobileHCI 2005. Salzburg, Austria: ACM, September 2005, pp. 1-8.
11. D. Hong and V. Y. Shen, "Setting access permission through transitive relationship in web-based social networks, " in Weaving Services and People on the World Wide Web, I. King and R. Baeza-Yates, Eds. Springer Berlin Heidelberg, 2009, pp. 229-253.
12. J. A. Hartigan and M. A. Wong, "A K-means clustering algorithm, " Applied Statistics, vol. 28, pp. 100-108, 1979.
13. R. L. de Mantaras and L. Valverde, "New results in fuzzy clustering based on the concept of indistinguishability relation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 10, no. 5, pp. 754-757, 1988.
14. A. Andoni and P. Indyk, "Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions, " Commun. ACM, vol. 51, no. 1, pp. 117-122, 2008.
15. N. Mishra, R. Schreiber, I. Stanton, and R. E. Tarjan, "Clustering social networks, " in Workshop On Algorithms and Models For The Web-Graph (WAW2007), 2007.
16. J. Shi and J. Malik, "Normalized cuts and image segmentation, " in CVPR '97: Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97). Washington, DC, USA: IEEE Computer Society, 1997, p. 731.
17. J. Leskovec, K. J. Lang, A. Dasgupta, and M. W. Mahoney, "Statistical properties of community structure in large social and information networks, " in WWW '08: Proceeding of the 17th international conference on World Wide Web. New York, NY, USA: ACM, 2008, pp. 695-704.
18. M. S. Handcock, A. E. Raftery, and J. M. Tantrum, "Modelbased clustering for social networks, " Journal Of The Royal Statistical Society Series A, vol. 170, no. 2, pp. 301-354, 2007.