Community Structure Detection Using Firefly Algorithm

Ameera Saleh Jaradat and Safa'a Bani Hamad
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Ameera Saleh Jaradat: Computer Science Department, Yarmouk University, Irbid, Jordan
Safa'a Bani Hamad: Yarmouk University, Irbid, Jordan

International Journal of Applied Metaheuristic Computing (IJAMC), 2018, vol. 9, issue 4, 52-70

Abstract: This article describes how parallel to the continuous growth of the Internet, which allows people to share and collaborate more, social networks have become more attractive as a research topic in many different disciplines. Community structures are established upon interactions between people. Detection of these communities has become a popular topic in computer science. How to detect the communities is of great importance for understanding the organization and function of networks. Community detection is considered a variant of the graph partitioning problem which is NP-hard. In this article, the Firefly algorithm is used as an optimization algorithm to solve the community detection problem by maximizing the modularity measure. Firefly algorithm is a new Nature-inspired heuristic algorithm that proved its good performance in a variety of applications. Experimental results obtained from tests on real-life networks demonstrate that the authors' algorithm successfully detects the community structure.

Date: 2018
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