Zhao, Zhongying; Feng, Shengzhong; Wang, Qiang; Huang, Joshua Zhexue; Williams, Graham; Fan, Jianping
Community detection is an important issue in social network analysis. Most existing methods detect communities through analyzing the linkage of the network. The drawback is that each community identified by those methods can only reflect the strength of connections, but it cannot reflect the semantics such as the interesting topics shared by people. To address this problem, we propose a topic oriented community detection approach which combines both social objects clustering and link analysis....[Show more]
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