Paper Title
Community Structure Detection in Networks based on Bee Colony

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.