Community detection in networks using atom stabilization algorithm

Community detection problem has great importance for better understanding of the relationships among the nodes as well as the overall network. In this paper, Atom Stabilization Algorithm (ASA) is considered for identifying communities. Modified Isolability is used as an objective function. Isolability measures the ability of group of nodes to isolate them from rest of the network. The results are compared with four other methods in terms of five quality and five accuracy metrics. The experimental results show the competency of proposed approach.