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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 School of Engineering Science, University of Science and Technology of China, Hefei 230026, China; 2 School of Mathematics, Southeast University, Nanjing 210096, China |
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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.
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Received: 12 September 2023
Revised: 17 November 2023
Accepted manuscript online: 12 December 2023
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PACS:
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02.70.Uu
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(Applications of Monte Carlo methods)
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02.60.Cb
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(Numerical simulation; solution of equations)
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05.10.-a
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(Computational methods in statistical physics and nonlinear dynamics)
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05.10.Ln
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(Monte Carlo methods)
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Fund: 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). |
Corresponding Authors:
Mao-Bin Hu
E-mail: humaobin@ustc.edu.cn
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Cite this article:
Shuai Huang(黄帅), Jie Chen(陈杰), Meng-Yu Li(李梦玉),Yuan-Hao Xu(徐元昊), and Mao-Bin Hu(胡茂彬) Impact of different interaction behavior on epidemic spreading in time-dependent social networks 2024 Chin. Phys. B 33 030205
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