Community discovery algorithm based on coincidence degree

Community structure is a structure characteristics commonly exists in all types of real network. To find out community in the network play an important role in understanding the function and behavior of the network. But the real network is changing all the time, the number of network community is changing with it, this characteristics is considered in the community discovery algorithm based on coincidence degree. The algorithm can accurately identify the network potential community by calculating and comparing the coincidence degree of network nodes and the modularity between communities.