Home >

news Help

Publication Information


Title
Japanese:マルチラベル伝搬法を用いた二部ネットワークからのコミュニティ抽出 
English: 
Author
Japanese: 田口響, 村田剛志.  
English: Hibiki Taguchi, Tsuyoshi Murata.  
Language Japanese 
Journal/Book name
Japanese: 
English: 
Volume, Number, Page 4B2-J-3        pp. 1-4
Published date June 7, 2019 
Publisher
Japanese: 
English: 
Conference name
Japanese:2019年度(第33回)人工知能学会全国大会 
English: 
Conference site
Japanese:新潟 
English: 
Official URL https://confit.atlas.jp/guide/event/jsai2019/subject/4B2-J-3-02/tables?cryptoId=
 
Abstract Community detection is an important topic in complex networks. A bipartite network is a special type of network, whose nodes can be divided into two disjoint sets and each edge connects between different types of nodes. In bipartite networks, there are two types of community definition, one-to-one correspondence and many-to-many correspondence between communities. The latter is better to represent realistic community structure in bipartite networks. However, few method can extract this type of structure. In this paper, we propose BiMLPA, based on multi label propagation algorithm, to detect many-to-many correspondence between communities in bipartite networks. Experimental results on real-world networks show that BiMLPA is effective and stable for detecting communities.
Award 全国大会優秀賞

©2007 Tokyo Institute of Technology All rights reserved.