Traffic-driven epidemic spreading on scale-free networks with tunable degree distribution

Han-Xin Yang and Bing-Hong Wang ()
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Han-Xin Yang: Department of Physics, Fuzhou University, Fuzhou 350116, P. R. China
Bing-Hong Wang: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 11, 1-8

Abstract: We study the traffic-driven epidemic spreading on scale-free networks with tunable degree distribution. The heterogeneity of networks is controlled by the exponent γ of power-law degree distribution. It is found that the epidemic threshold is minimized at about γ=2.2. Moreover, we find that nodes with larger algorithmic betweenness are more likely to be infected. We expect our work to provide new insights in to the effect of network structures on traffic-driven epidemic spreading.

Keywords: Traffic-driven epidemic spreading; scale-free networks; degree heterogeneity (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183116501254

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