Telecommunication community detection by decomposing network into n-cliques

The telecommunication social network analysis (TSNA) recognizes the relationships among customers in multi-relational and heterogeneous network represent as graph, where vertices are the customers of the telecom network and edges representing some relationships. The major task in TSNA is detection of the communities, which is clustering the telecom customers into subgroups. The structure of the subgroup is arbitrary in which the features of networks are extracted. Extracting the communities is a challenging scenario in social networks. This paper addresses the efficient technique for identification of communities in telecommunication social network where the inner structure is significant. Different variety of substructures are recognized and analyzed as the cliques, N-cliques and K-cores. This paper also concentrates on the clique co-membership to identify central and isolated customers in the network. This technique allows telecom companies to utilize the social activities of customers to design customized service strategy and to make best incentives.