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作者

Zhang, L. Chen, J. Sun, B. Tang, Y. Wang, M. Li, Y. Xue, S.

作者单位

Key Lab of Cerebral Microcirculation in Universities of Shandong, Taishan Medical University, Taian 271016, China a College of Information and Engineering, Taishan Medical University, Taian 271016, China g Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou 310036, China Department of Neurology, Affiliated Hospital of Taishan Medical University, Taian 271000, China Institute of Neuroinformatics, Dalian University of Technology, Dalian 116023, China School of Computer Science and Technology, Dalian University of Technology, Dalian 116023, China f Department of Psychology, Texas Tech Neuroimaging Institute, Texas Tech University, Lubbock, TX 79409, United States

刊名

Nonlinear Dynamics

年份

2014

卷号

Vol.76 No.2

页码

1569-1578

ISSN

0924-090X

关键词

Anti-preferential Complex network Degree distribution Fitness Preferential attachment Scale-free network

摘要

The nonlinear evolving and controlling in complex networks are an important way to understand the dynamic mechanism for real networks. In order to explore universality of scale-free systems, we propose an extended network model based on Barabási-Albert model by developing and decaying networks. The novel network evolves by growing and optimizing processes, such as the addition of new nodes and edges, or deletion of edges at every time step. Meanwhile, in order to describe more realistic phenomen...更多

The nonlinear evolving and controlling in complex networks are an important way to understand the dynamic mechanism for real networks. In order to explore universality of scale-free systems, we propose an extended network model based on Barabási-Albert model by developing and decaying networks. The novel network evolves by growing and optimizing processes, such as the addition of new nodes and edges, or deletion of edges at every time step. Meanwhile, in order to describe more realistic phenomena of reality, we introduce the fitness to reflect the competition and local event of inner anti-preferential mechanism to delete the edges. We calculate analytically the degree distribution and find that the Barabási-Albert model is only one of its special cases and the model self-organizes into scale-free networks, moreover, the numerical simulations are in good agreement with the analytical conclusions. The results imply that this extended model has more comprehensive and universal simulation and reflection in complex network topology characters and evolution with practices and applications.收起

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期刊

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