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Competing Complex Information Spreading in Multiplex Social Network

Author

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  • Xiang Li
  • Bocheng Hou
  • Wei Wang

Abstract

Coevolution spreading dynamics on complex networks is a hot topic, which attracts much attention in network science. This paper proposes a mathematical model to describe the two competing complex information spreading dynamics on multiplex networks. An individual can only accept one of the two pieces of information. A heterogeneous mean-field theory is developed to describe the spreading dynamics. We reveal different regions through Monte Carlo simulations of the competing complex information spreading dynamics: no global information, one information dominant, and two information coexistence. We finally find that the heterogeneity of the multiplex networks’ degree distributions does not qualitatively affect the results.

Suggested Citation

  • Xiang Li & Bocheng Hou & Wei Wang, 2021. "Competing Complex Information Spreading in Multiplex Social Network," Complexity, Hindawi, vol. 2021, pages 1-9, May.
    • Handle: RePEc:hin:complx:9923837
    DOI: 10.1155/2021/9923837
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    Cited by:

    1. Huang, He & Pan, Jialin & Chen, Yahong, 2024. "The competitive diffusion of knowledge and rumor in a multiplex network: A mathematical model," Applied Mathematics and Computation, Elsevier, vol. 475(C).

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