On a Discrete-Time Networked SIV Epidemic Model With Polar Opinion Dynamics

This paper studies novel epidemic spreading problems influenced by opinion evolution in social networks, where the opinions reflect the public health concerns. A coupled bilayer network is proposed, where the epidemics spread over several communities through a physical network layer while the opinions evolve over the same communities through a social network layer. The epidemic spreading process is described by a susceptible-infected-vigilant (SIV) model, which introduces opinion-dependent epidemic vigilance state compared with the classical epidemic models. The opinion process is modeled by a polar opinion dynamics model, which includes infection prevalence and human stubbornness into the opinion evolution. By introducing an opinion-dependent reproduction number, we analyze the stability of disease-free and endemic equilibria and derive sufficient conditions for their global asymptotic stability. We also discuss the mutual effects between epidemic eradication and opinion consensus, and the possibility of suppressing the epidemic spreading by intervening in the opinions or implementing public health strategies. Simulations are conducted to verify the theoretical results and demonstrate the feasibility of epidemic suppression.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2024-09-19
DOI
https://doi.org/10.1109/tnse.2024.3464852
Citations
7
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
1.97
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article

On a Discrete-Time Networked SIV Epidemic Model With Polar Opinion Dynamics

Hideaki Ishii, Qiulin Xu
7 citations
IEEE Transactions on Network Science and Engineering
Opinion Dynamics and Social Influence
1.97
article

On a Discrete-Time Networked SIV Epidemic Model With Polar Opinion Dynamics

Hideaki Ishii, Qiulin Xu
article en
7 citations

Abstract

This paper studies novel epidemic spreading problems influenced by opinion evolution in social networks, where the opinions reflect the public health concerns. A coupled bilayer network is proposed, where the epidemics spread over several communities through a physical network layer while the opinions evolve over the same communities through a social network layer. The epidemic spreading process is described by a susceptible-infected-vigilant (SIV) model, which introduces opinion-dependent epidemic vigilance state compared with the classical epidemic models. The opinion process is modeled by a polar opinion dynamics model, which includes infection prevalence and human stubbornness into the opinion evolution. By introducing an opinion-dependent reproduction number, we analyze the stability of disease-free and endemic equilibria and derive sufficient conditions for their global asymptotic stability. We also discuss the mutual effects between epidemic eradication and opinion consensus, and the possibility of suppressing the epidemic spreading by intervening in the opinions or implementing public health strategies. Simulations are conducted to verify the theoretical results and demonstrate the feasibility of epidemic suppression.

IEEE Transactions on Network Science and EngineeringVol. 11(6)
Tokyo Institute of Technology (JP), Tokyo University of Information Sciences (JP), The University of Tokyo (JP)
Good health and well-being
Openalex Percentile: Top 14%
Opinion Dynamics and Social Influence
1.97
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