DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-3 ( Mar, 2019 ) | |||||||||
Paper Title |
Community Structure Detection in Networks based on Bee Colony | |||||||||
Author Name |
Bilal Saoud | |||||||||
Affilition |
Electrical Engineering department, University of Bouira, 10000, Bouira, Algeria | |||||||||
Pages |
67-70 | |||||||||
Abstract |
In this paper we propose a new method to find the community structure in networks. Our method is based on bee colony and the maximization of modularity to find the community structure. We use a bee colony algorithm to find the first community structure that has a good value of modularity. To improve the community structure, that was found, we merge communities until we get a community structure that has a high value of modularity. We provide a general framework for implementing our approach. We tested our method on computer-generated and real-world networks with comparison to very known community detection methods. The obtained results show the effectiveness of our proposition. Index Terms - Networks, Bee Colony, Modularity, Normalized mutual information. | |||||||||
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