Traffic-driven SIR epidemic spreading in networks

Cunlai Pu, Siyuan Li, XianXia Yang, Zhongqi Xu, Zexuan Ji and Jian Yang

Physica A: Statistical Mechanics and its Applications, 2016, vol. 446, issue C, 129-137

Abstract: We study SIR epidemic spreading in networks driven by traffic dynamics, which are further governed by static routing protocols. We obtain the maximum instantaneous population of infected nodes and the maximum population of ever infected nodes through simulation. We find that generally more balanced load distribution leads to more intense and wide spread of an epidemic in networks. Increasing either average node degree or homogeneity of degree distribution will facilitate epidemic spreading. When packet generation rate ρ is small, increasing ρ favors epidemic spreading. However, when ρ is large enough, traffic congestion appears which inhibits epidemic spreading.

Keywords: Epidemic spreading; Routing protocol; Complex networks (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:446:y:2016:i:c:p:129-137

DOI: 10.1016/j.physa.2015.11.028

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