Community Detection in Social Networks Considering Topic Correlations.

Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang

Abstract: Network contents including node contents and edge contents can be utilized for community detection in social networks. Thus, the topic of each community can be extracted as its semantic information. A plethora of models integrating topic model and network topologies have been proposed. However, a key problem has not been resolved that is the semantic division of a community. Since the definition of community is based on topology, a community might involve several topics. To ach