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

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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)

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.

Suggested Citation

  • Han-Xin Yang & Bing-Hong Wang, 2016. "Traffic-driven epidemic spreading on scale-free networks with tunable degree distribution," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(11), pages 1-8, November.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:11:n:s0129183116501254
    DOI: 10.1142/S0129183116501254
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    Cited by:

    1. Chen, Jun-Jie & Hu, Mao-Bin & Wu, Yong-Hong, 2022. "Traffic-driven epidemic spreading with non-uniform origin and destination selection," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).

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