Subject-Driven Community Mining in Online Social Networks
نویسندگان
چکیده
Discovering communities in online social networks (OSNs) has attracted much attention in recent years. Most of existing research in this area focuses on the “friend” relationship among members in OSNs, but ignores the fact that a community is subject-centric: people interested in a subject form a community by interacting with each other. In this paper we introduce the concept of subject-driven communities and propose to discover such communities by 1) modeling a community using a posting/commenting interaction graph instead of a friendship network, 2) applying text classification on the content of blogs when constructing the interaction graph to keep it subject-relevant, and 3) applying link analysis on the interaction graph to locate the core members of a community. Our initial experimental results on LiveJournal demonstrate the effectiveness of our
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