Evolving Scale-Free Local Networks with Fitness and Tunable Clustering

Complex networks describe many real systems in nature and society more appropriately. Based on the recent complex networks research, an evolving scale-free local network model with fitness and tunable clustering is proposed in this paper. The result indicates: The analytical and numerical expressions of the model consistent with the numerical simulations well. Furthermore, the model explains the fitter-gets-richer phenomenon in local-world better, and helps us quantificationally comprehend many competitive systems´ evolution in nature and society.