Random pseudofractal scale-free networks with small-world effect

被引：0

作者：

L. Wang

F. Du

H. P. Dai

Y. X. Sun

机构：

[1] State Key Laboratory of Industrial Control Technology,

[2] Institute of Industrial Process Control,undefined

[3] Zhejiang University,undefined

来源：

The European Physical Journal B - Condensed Matter and Complex Systems | 2006年 / 53卷

关键词：

89.75.Hc Networks and genealogical trees ; 05.10.-a Computational methods in statistical physics and nonlinear dynamics;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A random pseudofractal network (RPN) is generated by a recursive growing rule. The RPN is of the scale-free feature and small-world effect. We obtain the theoretical results of power-law exponent γ=3, clustering coefficient C=3π2-19≈ 0.74, and a proof that the mean distance increases no faster than ln N, where N is the network size. These results agree with the numerical simulation very well. In particular, we explain the property of growth and preferential attachment in RPNs. And the properties of a class of general RPNs are discussed in the end.

引用

页码：361 / 366

页数：5

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