Analysis of Associtivity and Community Structure in Mobile Social Networks

Community structure detection is crucial attracted in field of study complex network. People have find vast detection algorithmic of community structure of network. However, most of methods mainly used in single static state network. And less community partition method apply to multi-slice network. In this paper, we first according to the time sequence of mobile social networks construct multi-slice network model, then investigate assortativity of MSNs by analyzing the assortativity coefficient over time. In the next instalment, we detect community partition in mobile social networks(MSNs) by optimizing multi-slice modularity function, since The advantages of modularity optimizing is that without prior knowledge of the communities. By optimizing multi-slice modularity and succedent method of diagnostics on the result of network partition. It is thereby maybe to find topology information about community structure of time-dependent MSNs.