中国物理B ›› 2024, Vol. 33 ›› Issue (3): 30205-030205.doi: 10.1088/1674-1056/ad147f

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Impact of different interaction behavior on epidemic spreading in time-dependent social networks

Shuai Huang(黄帅)1, Jie Chen(陈杰)2, Meng-Yu Li(李梦玉)1, Yuan-Hao Xu(徐元昊)1, and Mao-Bin Hu(胡茂彬)1,†   

  1. 1 School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
    2 School of Mathematics, Southeast University, Nanjing 210096, China
  • 收稿日期:2023-09-12 修回日期:2023-11-17 接受日期:2023-12-12 出版日期:2024-02-22 发布日期:2024-02-29
  • 通讯作者: Mao-Bin Hu E-mail:humaobin@ustc.edu.cn
  • 基金资助:
    This work was supported by the National Natural Science Foundation of China (Grant No. 12072340), the China Postdoctoral Science Foundation (Grant No. 2022M720727), and the Jiangsu Funding Program for Excellent Postdoctoral Talent (Grant No. 2022ZB130).

Impact of different interaction behavior on epidemic spreading in time-dependent social networks

Shuai Huang(黄帅)1, Jie Chen(陈杰)2, Meng-Yu Li(李梦玉)1, Yuan-Hao Xu(徐元昊)1, and Mao-Bin Hu(胡茂彬)1,†   

  1. 1 School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
    2 School of Mathematics, Southeast University, Nanjing 210096, China
  • Received:2023-09-12 Revised:2023-11-17 Accepted:2023-12-12 Online:2024-02-22 Published:2024-02-29
  • Contact: Mao-Bin Hu E-mail:humaobin@ustc.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (Grant No. 12072340), the China Postdoctoral Science Foundation (Grant No. 2022M720727), and the Jiangsu Funding Program for Excellent Postdoctoral Talent (Grant No. 2022ZB130).

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摘要： We investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks. The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis. It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics, depending on the relative social intensity of group and pairwise interactions. As the group interaction proportion decreases, the impact of reducing group social intensity diminishes. The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection. A weak heterogeneous activity distribution can raise the epidemic threshold, and reduce the scale of infection. These results benefit the design of epidemic control strategy.

关键词: epidemic transmission, complex network, time-dependent networks, social interaction

Abstract: We investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks. The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis. It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics, depending on the relative social intensity of group and pairwise interactions. As the group interaction proportion decreases, the impact of reducing group social intensity diminishes. The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection. A weak heterogeneous activity distribution can raise the epidemic threshold, and reduce the scale of infection. These results benefit the design of epidemic control strategy.

Key words: epidemic transmission, complex network, time-dependent networks, social interaction

中图分类号:  (Applications of Monte Carlo methods)

  • 02.70.Uu
02.60.Cb (Numerical simulation; solution of equations) 05.10.-a (Computational methods in statistical physics and nonlinear dynamics) 05.10.Ln (Monte Carlo methods)