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

doi:10.1088/1674-1056/ad147f

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.

Keywords: epidemic transmission complex network time-dependent networks social interaction

Received: 12 September 2023
Revised: 17 November 2023
Accepted manuscript online: 12 December 2023

PACS:	02.70.Uu	(Applications of Monte Carlo methods)
	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)

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

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

[1] Chen J J, Hu M B and Wu Y H 2022 Chaos Soliton Fract. 161 112348
[2] Zeng L, Zeng Y Q and Tang M 2022 Phys. Rev. Res. 4 033209
[3] Yang H X and Wang B H 2016 Physica A 443 86
[4] Fu C, Liu X Y and Yang J 2019 IEEE Trans. Depend. Secure Comput. 16 693
[5] Vega-Oliveros D A, Costa L D and Rodrigues F A 2020 Commun. Nonlinear Sci. 83 105094
[6] Xu S H, Lu W L and Zhan Z X 2012 IEEE Trans. Depend. Secure Comput. 9 30
[7] Ren J G and Xu Y H 2018 Appl. Math. Model. 59 86
[8] Boguna M, Castellano C and Pastor-Satorras R 2013 Phys. Rev. Lett. 111 068701
[9] Vespignani A 2011 Nat. Phys. 8 32
[10] Valdano E, Poletto C and Colizza V 2015 Eur. Phys. J. B 88 341
[11] Perra N, Goncalves B and Pastor-Satorras R 2012 Sci. Rep. 2 469
[12] Wang B, Xie Z Y and Han Y X 2021 Phys. Rev. E 104 044307
[13] Hou Y X, Lu Y K and Dong Y T 2023 Appl. Math. Comput. 446 127850
[14] Li Z C and Tang J H 2017 IEEE Trans. Image Process. 26 276
[15] Li Z C, Tang J H and Mei T 2019 IEEE Trans. Pattern Anal. 41 2070
[16] Centola D 2010 Science 329 1194
[17] Patania A, Petri G and Vaccarino F 2017 EPJ Data Sci. 6 18
[18] Wang H, Ma C and Chen H S 2022 Nat. Commun. 13 3043
[19] Zhao X M, Yu H T and Li S M 2022 Physica A 606 128073
[20] Fan J F, Yin Q and Xia C Y 2022 Proc. R. Soc. A 478 20220059
[21] Iacopini I, Petri G and Barrat A 2019 Nat. Commun. 10 2485
[22] Petri G and Barrat A 2018 Phys. Rev. Lett. 121 228301
[23] Long E, Patterson S and Maxwell K 2022 J. Epidemiol. Commun. Health 76 128
[24] Calbi M, Langiulli N and Ferroni F 2021 Sci. Rep. 11 2601
[25] Buckee C, Noor A and Sattenspiel L 2021 Nature 595 205
[26] Wang H, Zhang H F and Zhu P C 2022 Chaos 32 083110

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

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