Epidemic spreading dynamics on two-layer complex networks

Jinlong Ma, Tingting Xiang and Yongbin Zhao
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Jinlong Ma: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China2Hebei Technology Innovation Center of Intelligent IoT, Shijiazhuang 050018, P. R. China
Tingting Xiang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China2Hebei Technology Innovation Center of Intelligent IoT, Shijiazhuang 050018, P. R. China
Yongbin Zhao: School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, P. R. China

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 03, 1-13

Abstract: Recent studies have shown that many real-world systems can be described by multi-layer complex networks. In this paper, the concept of layers is introduced to construct a traffic-driven SIR epidemic spreading model on “logical-physical†layered network. Based on the peak density of infected nodes and the ultimate density of recovered nodes, we investigate the features of epidemic spreading on layered network. Through numerical simulations, it is shown that traffic flow greatly influences the intensity and scope of epidemic spreading. By comparing the effects of four kinds of two-layer networks generated by ER random network model and BA scale-free network model on epidemic spreading, we found that the homogeneity of logical or physical network structure can promote the spread of epidemic more than heterogeneous networks. This work may be of service to design traffic-driven epidemic prevention and control strategies.

Keywords: Layered complex networks; epidemic spreading; traffic flow (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124500232

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