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

Jinlong Ma, Peng Wang and Zhijia Lu
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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

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 02, 1-17

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.

Keywords: Community structure; heterogeneity; higher-order interaction; epidemic spreading (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183124501870

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