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Virus-Information Coevolution Spreading Dynamics on Multiplex Networks

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Listed:
  • Jian Wang
  • Xiaolin Qin
  • Hongying Fang
  • Ning Cai

Abstract

Virus and information spreading dynamics widely exist in complex systems. However, systematic study still lacks for the interacting spreading dynamics between the two types of dynamics. This paper proposes a mathematical model on multiplex networks, which considers the heterogeneous susceptibility and infectivity in two subnetworks. By using a heterogeneous mean-field theory, we studied the dynamic process and outbreak threshold of the system. Through extensive numerical simulations on artificial networks, we find that the virus’s spreading dynamics can be suppressed by increasing the information spreading probability, decreasing the protection power, or decreasing the susceptibility and infectivity.

Suggested Citation

  • Jian Wang & Xiaolin Qin & Hongying Fang & Ning Cai, 2021. "Virus-Information Coevolution Spreading Dynamics on Multiplex Networks," Complexity, Hindawi, vol. 2021, pages 1-9, March.
    • Handle: RePEc:hin:complx:6624612
    DOI: 10.1155/2021/6624612
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