期刊名称：International Journal of Managing Information Technology
印刷版ISSN：0975-5926
电子版ISSN：0975-5586
出版年度：2010
卷号：2
期号：4
DOI：10.5121/ijmit.2010.24011
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit Web communities and present an approach to automatically detect them, based on user's resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labelled according to who is manipulating them. Our proposal relies on the fuzzy K-means clustering method and is assessed on large movie datasets
关键词：Clustering; Data sharing; Information networks; user ;distance; Web community
