Mining Community in Mobile Social Network

AbstractWith the popularity of mobile devices and wireless technologies, mobile communication network systems are increasingly available. In this paper we propose a new algorithm for mining interesting communities or groups in Mobile Social Network. The proposal algorithm is composed of two main components, an algorithm for community partition and an algorithm for selecting small communities to combine into a big community. Empirical studies on a campus mobile social network (CMSN) show that performance of the proposal algorithm is better than the state-ofthe-art other cluster algorithm for mining community in CMSN