Weighted evolving networks with community structure mechanism

In order to describe the self-organization of communities in the evolution of weighted networks, we propose a new evolving model for weighted community structure networks. Community structure is considered in process of evolving based on traditional strength preferential selection mechanism of weighted network. The effects of community structure on the structure of our evolving scale-free model are investigated. The evolution of degree, strength, weighted exhibit the power-law distributions. The average clustering coefficient exhibits power-law decay as a function of degree of node. By tuning the probability p, the clustering coefficient of network can be distinctly increased.