Title :
Identification of Community Structure in Networks
Author :
Chen, Jun ; Ma, Tieju ; Chi, Chunjie
Author_Institution :
Sch. of Bus., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
In recent years, researchers show considerable interests in identification of communities in complex networks. Diverse methods have been developed to address this problem. This paper presents a new algorithm for identifying communities in complex networks. The algorithm was inspired by studies on the effect of structural holes in networks. We tested the performance of the new algorithm with several complex networks and the test show the algorithm efficient.
Keywords :
social networking (online); complex networks; network community structure; structural holes; Clustering algorithms; Clustering methods; Complex networks; Computer networks; Filling; IP networks; Mechanical factors; Social network services; Spectral analysis; Testing;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.433
