Title :
Fast method of detecting communities in complex networks
Author :
Liu, Bin ; Li, Ling
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Abstract :
In this paper we introduce a novel method, LCDA, to identify the communities in large complex network based on ¿local community¿. Time complexity of our algorithm is O(n<k>3 Ln(n) where <k> is the mean degree and n is the number of vertices in the network. It is very useful in analyzing very larger complex network. By applying LCDA on Zachary club network we get better structure than classical NG algorithm and higher speed than SA method. Our algorithm exhibits good accurateness by testing much larger complex networks further.
Keywords :
complex networks; computational complexity; social networking (online); LCDA; Zachary club network; communities detection; complex networks; time complexity; Application software; Cities and towns; Clustering algorithms; Complex networks; Computational intelligence; Computer industry; Computer networks; Laboratories; Partitioning algorithms; Software engineering; community; complex network; modularity;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406619