Modern Information Retrieval
Web Document Classification Based on Fuzzy Association
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A framework for community identification in dynamic social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting Communities in Large Networks by Iterative Local Expansion
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Social Synchrony: Predicting Mimicry of User Actions in Online Social Media
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
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Role identification is a difficult job for many social network applications. One of the difficulties is to maintain and utilize large amount of distinct roles. In this paper, we attempt to adopt fuzzy classification method and construct a hierarchy for role classification. We believe this approach can encourage the utilization of social roles by considering their identifiable features at different levels.