The Application of Fuzzy Clustering in the Analysis of Community Structure

被引：0

作者：

Fang, Aili ^{[1
]}

Zhang, Siying ^{[2
]}

机构：

[1] Ludong Univ, Sch Math & Informat, Yantai 264025, Peoples R China

[2] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China

来源：

2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年

关键词：

Complex networks; Community structure; Fuzzy cluster algorithm; Zachary's karate club;

D O I：

10.1109/CCDC.2010.5498569

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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 Zachary's karate club network is given as demonstration.

引用

页码：3479 / +

页数：2

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