NDLI: Ant colony optimization for community detection in large-scale complex networks

Content Provider	IEEE Xplore Digital Library
Author	Dongxiao He Jie Liu Dayou Liu Di Jin Zhengxue Jia
Copyright Year	2011
Description	Author affiliation: College of Computer Science and Technology, Jilin University, Changchun, China (Dongxiao He; Jie Liu; Dayou Liu; Di Jin) \|\| Manager Service Department, FAW-Volkswagen Automotive Company Limited, Changchun, China (Zhengxue Jia)
Abstract	In this paper we present a new ant colony optimization for community detection in large networks, which takes modularity Q as objective function. An important difference that distinguishes our algorithm from the former ant algorithms is the manner in which the ants are used in the algorithm. Unlike those existing methods in which each ant searches for a candidate solution, each ant in our algorithm only decides whether its current vertex joins the community of its previous vertex with the aid of a simulated annealing idea, whose purpose is to locally optimize function Q. In each iteration, the ants work collectively so as to uncover the community structure of the network. Moreover, we introduce a thought of “layer and rule” into this method for further improving its performance. Our algorithm doesn't employ the pheromone, which reduces its running time and makes it well suitable for large-scale networks. Meanwhile, it still performs very well on both computer-generated benchmark and some widely used real-world networks compared with a set of competing algorithm in terms of clustering quality.
Starting Page	1151
Ending Page	1155
File Size	256449
Page Count	5
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis modularity Q Ant colony optimization Annealing simulated annealing ant colony optimization Communities Complex networks Simulated annealing complex network community detection
Content Type	Text
Resource Type	Article

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