DocumentCode
2843411
Title
The application of fuzzy clustering in the analysis of community structure
Author
Fang, Aili ; Zhang, Siying
Author_Institution
Sch. of Math. & Inf., Ludong Univ., Yantai, China
fYear
2010
fDate
26-28 May 2010
Firstpage
3479
Lastpage
3481
Abstract
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.
Keywords
complex networks; fuzzy set theory; pattern clustering; Zacharys karate club network; fuzzy c-mean clustering method; optimized modular function; overlapping community structure; spectral relaxation; Clustering algorithms; Clustering methods; Complex networks; Electronic mail; Fans; Fuzzy sets; Industrial control; Mathematics; Optimization methods; Virtual colonoscopy; Community structure; Complex networks; Fuzzy cluster algorithm; Zachary´s karate club;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498569
Filename
5498569
Link To Document