Epidemic spreading on weighted complex networks

被引：69

作者：

Sun, Ye ^{[1
,2
]}

Liu, Chuang ^{[1
,2
]}

Zhang, Chu-Xu ^{[1
,2
]}

Zhang, Zi-Ke ^{[1
,2
]}

机构：

[1] Hangzhou Normal Univ, Inst Informat Econ, Hangzhou 311121, Zhejiang, Peoples R China

[2] Hangzhou Normal Univ, Alibaba Res Ctr Complex Sci, Hangzhou 311121, Zhejiang, Peoples R China

来源：

PHYSICS LETTERS A | 2014年 / 378卷 / 7-8期

基金：

中国国家自然科学基金;

关键词：

Complex networks; Epidemic spreading; Multi-relation; Weighted network; SMALL-WORLD NETWORKS; INTERDEPENDENT NETWORKS; SOCIAL NETWORKS; DYNAMICS; DISEASE; ORGANIZATION; VIRUSES; MODEL;

D O I：

10.1016/j.physleta.2014.01.004

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Nowadays, the emergence of online services provides various multi-relation information to support the comprehensive understanding of the epidemic spreading process. In this Letter, we consider the edge weights to represent such multi-role relations. In addition, we perform detailed analysis of two representative metrics, outbreak threshold and epidemic prevalence, on SIS and SIR models. Both theoretical and simulation results find good agreements with each other. Furthermore, experiments show that, on fully mixed networks, the weight distribution on edges would not affect the epidemic results once the average weight of whole network is fixed. This work may shed some light on the in-depth understanding of epidemic spreading on multi-relation and weighted networks. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：635 / 640

页数：6

共 39 条

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