Community detection in complex networks using collaborative evolutionary algorithms

Authors:
Anca Gog;D. Dumitrescu;Béat Hirsbrunner
Affiliations:
University of Fribourg, Department of Computer Science, Fribourg, Switzerland;Babes-Bolyai University, Department of Computer Science, Cluj-Napoca, Romania;University of Fribourg, Department of Computer Science, Fribourg, Switzerland
Venue:
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Year:
2007

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Abstract

Scientific researchers from computer science, communication and as well from sociology and epidemiology reveal a strong interest in the study of networks. One important feature studied in complex network is the community structure. A new evolutionary technique for community detection in complex networks is proposed in this paper. The new algorithm is based on an information sharing mechanism between the individuals of a population. A real-world network is considered for numerical experiments.