Scale-free networks without growth

被引：88

作者：

Xie, Yan-Bo ^{[1
]}

Zhou, Tao ^{[1
]}

Wang, Bing-Hong ^{[1
]}

机构：

[1] Univ Sci & Technol China, Nonlinear Sci Ctr, Dept Modern Phys, Hefei 230026, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 07期

基金：

中国国家自然科学基金;

关键词：

complex networks; modelling; scale-free network;

D O I：

10.1016/j.physa.2007.11.005

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper, we proposed an ungrowing scale-free network model, indicating the growth may not be a necessary condition of the self-organization of a network in a scale-free structure. The analysis shows that the degree distributions of the present model can varying from the Poisson form to the power-law form with the decrease of a free parameter a. This model provides a possible mechanism for the evolution of some scale-free networks with fixed size, such as the friendship networks of school children and the functional networks of the human brain. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：1683 / 1688

页数：6

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