A General BBV Model with High Clustering Scale-Free Networks

A weighted evolving model of scale-free network is proposed. Our model has been inspired by the weighted network model proposed by Alain Barrat
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. (BBV for shot), which consider the emergences of new links according to Triad Formation and strength preferential selection mechanism. Interactions more easily occur between neighbors with high-strength in our model. The effects of Triad Formation on the structure of our evolving scale-free model were investigated. The evolution of degree, strength, weighted exhibit the power-law distributions. Highly correlated with the degree, the average strength displays scale-free property in our model. The average clustering coefficient exhibits a power-law decay as a function of degree of node. Triad Formation mechanism can distinctly enhance the clustering coefficient of network.