Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks

doi:10.1088/1674-1056/acea65

Abstract In recent years, the impact of information diffusion and individual behavior adoption patterns on epidemic transmission in complex networks has received significant attention. In the immunization behavior adoption process, different individuals often make behavioral decisions in different ways, and it is of good practical importance to study the influence of individual heterogeneity on the behavior adoption process. In this paper, we propose a three-layer coupled model to analyze the process of co-evolution of official information diffusion, immunization behavior adoption and epidemic transmission in multiplex networks, focusing on individual heterogeneity in behavior adoption patterns. Specifically, we investigate the impact of the credibility of social media and the risk sensitivity of the population on behavior adoption in further study of the effect of heterogeneity of behavior adoption on epidemic transmission. Then we use the microscopic Markov chain approach to describe the dynamic process and capture the evolution of the epidemic threshold. Finally, we conduct extensive simulations to prove our findings. Our results suggest that enhancing the credibility of social media can raise the epidemic transmission threshold, making it effective at controlling epidemic transmission during the dynamic process. In addition, improving an individuals' risk sensitivity, and thus their taking effective protective measures, can also reduce the number of infected individuals and delay the epidemic outbreak. Our study explores the role of individual heterogeneity in behavior adoption in real networks, more clearly models the effect of the credibility of social media and risk sensitivity of the population on the epidemic transmission dynamic, and provides a useful reference for managers to formulate epidemic control and prevention policies.

Keywords: multiplex network epidemic transmission behavior

Received: 11 April 2023
Revised: 05 July 2023
Accepted manuscript online: 26 July 2023

PACS:	64.60.aq	(Networks)
	87.23.Kg	(Dynamics of evolution)
	87.23.Ge	(Dynamics of social systems)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 72174121 and 71774111), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, and the Natural Science Foundation of Shanghai (Grant No. 21ZR1444100).

Corresponding Authors: Liang'an Huo
E-mail: huohuolin@yeah.net

Cite this article:

Liang'an Huo(霍良安) and Yue Yu(于跃) Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks 2023 Chin. Phys. B 32 108703

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