Bond percolation on a class of clustered random networks

被引：80
|
作者：
Gleeson, James P. [1 ]
机构：
[1] Univ Limerick, Dept Math & Stat, Limerick, Ireland
来源：
PHYSICAL REVIEW E | 2009年 / 80卷 / 03期
基金：
爱尔兰科学基金会;
关键词：
large-scale systems; pattern clustering; percolation; GRAPHS;
D O I：
10.1103/PhysRevE.80.036107
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
Analytical results are derived for the bond percolation threshold and the size of the giant connected component in a class of random networks with nonzero clustering. The network's degree distribution and clustering spectrum may be prescribed and theoretical results match well with numerical simulations on both synthetic and real-world networks.
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页数：5
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