A Graph Clustering Algorithm for Citation Networks

摘要：

　　In this paper,we propose a novel network clustering algorithm,called CPSCAN for detecting the communities of citation network based on the temporal feature.Firstly,with combining temporal interval and citation path,a structural similarity model and a clustering algorithm is proposed.Then we propose a new modularity for measuring the quality of clustering on citation network.In empirical evaluation,we compare our method with existing methods on real world datasets.The experimental results demonstrates our algorithm has better performance on citation network than others methods.

关键词： Network clustering Temporal feature Citation network Modularity

作者: Bo Zhang Tiezheng Nie Derong Shen Yue Kou Ge Yu Ziwei Zhou

作者单位: Northeastern University,Shenyang,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 414-418

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）