開催日時：2020年01月08日14:30-16:00

開催場所：DSラーニングコモンズ（データサイエンス棟１階）

講演者：李 衛民 氏　(上海大学)

題目：Community in Dynamic Network

概要：
The traditional community discovery method will default to a static network. However, with the popularity of online social networking software, the dynamic change of network data is becoming increasingly important. The evolutionary community discovery method works to track communities over time. In this talk, we firstly introduce the node convergence for overlapping community in static network. Then distance measure based on resistance distance is studied, and an improved density-based method is proposed to detect the community structure of each time step. The related experiment verified our proposed method can track community evolution in dynamic networks.