The Application of Fuzzy Clustering in the Analysis of Community Structure

摘要：

Community structure is a common nature which most practical networks have. Community detecting has great significance for describing the network structure characters. In this paper, an algorithm is proposed which combines the idea of optimized modular function Q, spectral relaxation and fuzzy c-mean clustering methods in order to uncover the overlapping community structure and the Zacharys karate club network is given as demonstration.

关键词： Complex networks Community structure Fuzzy cluster algorithm Zacharys karate club

作者: Aili Fang Siying Zhang

作者单位: School of Mathematics and Information, Ludong University, Yantai 264025, China Institute of Complexity Science, Qingdao University, Qingdao 266071, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3479-3481

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）