Influence of network structure on rumor propagation

被引：236

作者：

Zhou, Jie

Liu, Zonghua ^{[1
]}

Li, Baomen

机构：

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

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

[3] Natl Univ Singapore, Dept Phys, Singapore 117542, Singapore

[4] Natl Univ Singapore, Ctr Computat Sci & Engn, Singapore 117542, Singapore

[5] NUS Grad Sch Integrat Sci & Engn, Singapore 117597, Singapore

来源：

PHYSICS LETTERS A | 2007年 / 368卷 / 06期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1016/j.physleta.2007.01.094

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Rumor propagation in complex networks is studied analytically and numerically by using the SIR model. Analytically, a mean-field theory is worked out by considering the influence of network topological structure and the unequal footings of neighbors of an infected node in propagating the rumor. It is found that the final infected density of population with degree k is p(k) = 1 - exp(-alpha k), where alpha is a parameter related to network structure. The number of the total final infected nodes depends on the network topological structure and will decrease when the structure changes from random to scale-free network. Numerical simulations confirm the theoretical predictions. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：458 / 463

页数：6

共 37 条

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