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加权网络的广义局部世界模型

Generalized local-world models for weighted networks.

作者信息

Pan Zaofeng, Li Xiang, Wang Xiaofang

机构信息

Complex Networks and Control Lab, Department of Automation, Shanghai Jiao Tong University, China.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 May;73(5 Pt 2):056109. doi: 10.1103/PhysRevE.73.056109. Epub 2006 May 10.

Abstract

Based on the weighted scale-free network model proposed by Barrat, Barthélemy, and Vespignani [Phys. Rev. Lett. 92, 228701 (2004)] and enlightened by our local-world concept [Li and Chen, Physica A 328, 274 (2003)], we propose two generalized local-world (GLW) models for weighted complex networks. Theoretical analysis and numerical simulations show that the GLW models generate weighted networks as a crossover between exponential and scale-free weighted networks, and exhibit an alteration from assortative networks to disassortative networks.

摘要

基于巴拉特、巴泰勒米和韦斯皮尼亚尼提出的加权无标度网络模型[《物理评论快报》92, 228701 (2004)],并受我们的局部世界概念启发[李和陈,《物理A》328, 274 (2003)],我们提出了两种用于加权复杂网络的广义局部世界(GLW)模型。理论分析和数值模拟表明,GLW模型生成的加权网络是指数加权网络和无标度加权网络之间的一种交叉,并且呈现出从同配网络到异配网络的转变。

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