A fast clustering algorithm for mining social network data
نویسندگان
چکیده
Many groups with diverse convictions are interacting online. Interactions in online communities help people to engage each other and enhance understanding across groups. Online communities include multiple sub-communities whose members are similar due to social ties, characteristics, or ideas on a topic. In this research, we are interested in understanding the changes in the relative size and activity of these subcommunities, their merging or splitting patterns, and the changes in the perspectives of the members of these subcommunities due to endogenous dynamics inside the community.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1403.1214 شماره
صفحات -
تاریخ انتشار 2014