Affiliations: Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
Corresponding author: Alireza Ghasabeh, Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran. E-mail:firstname.lastname@example.org
Abstract: The problem of community detection has been widely studied in numerous
research papers in the last decade. There have been several proposed
solutions for this problem; however the challenges of this problem have not
been fully addressed yet. In this paper, we hybridize the idea of Ant Colony
clustering, which is a local search solution, with global search ability of
Honey Bee Hive Optimization to detect communities faster and more
accurately. We use the dancer bees for exchanging information among nodes,
and a node is considered as an ant in the ant colony clustering.
Experimental results on real world networks and also artificial
generated graphs show superior performance of our algorithm in comparison to
other previous approaches.
Keywords: Community detection, ant colony optimization, swarm intelligence, honey-bees optimization