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A neighbourhood evolving network model
Affiliation:1. College of Electrical Engineering and National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China;2. Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, Beijing 100080, China
Abstract:Many social, technological, biological and economical systems are best described by evolved network models. In this short Letter, we propose and study a new evolving network model. The model is based on the new concept of neighbourhood connectivity, which exists in many physical complex networks. The statistical properties and dynamics of the proposed model is analytically studied and compared with those of Barabási–Albert scale-free model. Numerical simulations indicate that this network model yields a transition between power-law and exponential scaling, while the Barabási–Albert scale-free model is only one of its special (limiting) cases. Particularly, this model can be used to enhance the evolving mechanism of complex networks in the real world, such as some social networks development.
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