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Epidemic spreading on community networks with heterogeneity considering higher-order interactions

Author

Listed:
  • Jinlong Ma

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Peng Wang

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Zhijia Lu

    (Mechanical and Electrical College, Shijiazhuang University, Shijiazhuang 050035, P. R. China)

Abstract

Real networks often exhibit community structures, while community networks often have heterogeneity. Group interactions beyond pairwise interactions can adequately characterize the high-order features in the propagation process. In this paper, we construct a community network with heterogeneity which can reflect the heterogeneity among communities. According to the proposed model, high-order interactions are introduced to study the impact of heterogeneity among communities and higher-order interactions on epidemic dynamics. It is shown that heterogeneity among communities and high-order interactions will have an impact on the propagation speed, propagation threshold and final propagation scale.

Suggested Citation

  • Jinlong Ma & Peng Wang & Zhijia Lu, 2025. "Epidemic spreading on community networks with heterogeneity considering higher-order interactions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 36(02), pages 1-17, February.
    • Handle: RePEc:wsi:ijmpcx:v:36:y:2025:i:02:n:s0129183124501870
    DOI: 10.1142/S0129183124501870
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