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.
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页码：361 / 366
页数：5
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