TAXONOMY AND SURVEY OF COMMUNITY DISCOVERY METHODS IN COMPLEX NETWORKS

The community detection in complex networks has attracted a growing interest and is the subject of several researches that have been proposed to understand the network structure and analyze the network properties. In this paper, we give a thorough overview of different community discovery strategies, we propose taxonomy of these methods, and we specify the differences between the suggested classes which helping designers to compare and choose the most suitable strategy for the various types of network encountered in the real world.