Epidemic spreading in community networks

被引：191

作者：

Liu, ZH ^{[1
]}

Hu, BB

机构：

[1] E China Normal Univ, Dept Phys, Shanghai 200062, Peoples R China

[2] Hong Kong Baptist Univ, Ctr Nonlinear Studies, Dept Phys, Hong Kong, Hong Kong, Peoples R China

[3] Hong Kong Baptist Univ, Beijing Hong Kong Singapore Joint Ctr Nonlinear &, Hong Kong Branch, Hong Kong, Hong Kong, Peoples R China

[4] Univ Houston, Dept Phys, Houston, TX 77204 USA

来源：

EUROPHYSICS LETTERS | 2005年 / 72卷 / 02期

关键词：

D O I：

10.1209/epl/i2004-10550-5

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Social networks have the structure of communities. To understand how the community structure affects epidemic spreading, we present a simplified model of community network, and investigate the epidemic propagation in this model. We find that, compared to the random network, the community network has a broader degree distribution, a smaller threshold of epidemic outbreak, and more prevalence to keep the outbreak endemic. The formulae of epidemic threshold are given and confirmed by numerical simulations.

引用

页码：315 / 321

页数：7

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