Self-Organized Optimization of Transport on Complex Networks

作     者：牛瑞吾 潘贵军 

作者机构：Faculty of Physics and Electronic TechnologyHubei University 

出 版 物：《Chinese Physics Letters》 (中国物理快报（英文版）)

年 卷 期：2016年第33卷第6期

页      面：153-156页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：Supported by the Education Foundation of Hubei Province under Grant No D20120104 

主　　题：of work in that Self-Organized Optimization of Transport on Complex Networks is node on link 

摘      要：We propose a self-organized optimization mechanism to improve the transport capacity of complex gradient networks. We find that, regardless of network topology, the congestion pressure can be strongly reduced by the self-organized optimization mechanism. Furthermore, the random scale-free topology is more efficient to reduce congestion compared with the random Poisson topology under the optimization mechanism. The reason is that the optimization mechanism introduces the correlations between the gradient field and the local topology of the substrate network. Due to the correlations, the cutoff degree of the gradient network is strongly reduced and the number of the nodes exerting their maximal transport capacity consumedly increases. Our work presents evidence supporting the idea that scale-free networks can efficiently improve their transport capacity by self- organized mechanism under gradient-driven transport mode.