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
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;
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
DOI :
10.1109/CCDC.2010.5498569
