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

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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 inter-action 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 inten-sity 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.

epidemic transmissioncomplex networktime-dependent networkssocial interaction

黄帅、陈杰、李梦玉、徐元昊、胡茂彬

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School of Engineering Science,University of Science and Technology of China,Hefei 230026,China

School of Mathematics,Southeast University,Nanjing 210096,China

国家自然科学基金中国博士后科学基金Jiangsu Funding Program for Excellent Postdoctoral Talent

120723402022M7207272022ZB130

2024

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子:0.995
ISSN:1674-1056
年,卷(期):2024.33(3)
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