International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Feb. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 131
Paper Published : 1705
No. of Authors : 4719
  Journal Paper


Paper Title :
Community Structure Detection in Networks based on Bee Colony

Author :Bilal Saoud

Article Citation :Bilal Saoud , (2019 ) " Community Structure Detection in Networks based on Bee Colony " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 67-70, Volume-7,Issue-3

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.

Type : Research paper

Published : Volume-7,Issue-3


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-15154   View Here

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