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Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks

Modelling the epidemic’s spread on multiplex networks, considering complex human behaviours, has recently gained the attention of many scientists. In this work, we study the interplay between epidemic spreading and opinion dynamics on multiplex networks. An agent in the epidemic layer could remain i...

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Detalles Bibliográficos
Autores principales: Jankowski, Robert, Chmiel, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774805/
https://www.ncbi.nlm.nih.gov/pubmed/35052131
http://dx.doi.org/10.3390/e24010105
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author Jankowski, Robert
Chmiel, Anna
author_facet Jankowski, Robert
Chmiel, Anna
author_sort Jankowski, Robert
collection PubMed
description Modelling the epidemic’s spread on multiplex networks, considering complex human behaviours, has recently gained the attention of many scientists. In this work, we study the interplay between epidemic spreading and opinion dynamics on multiplex networks. An agent in the epidemic layer could remain in one of five distinct states, resulting in the SIRQD model. The agent’s attitude towards respecting the restrictions of the pandemic plays a crucial role in its prevalence. In our model, the agent’s point of view could be altered by either conformism mechanism, social pressure, or independent actions. As the underlying opinion model, we leverage the q-voter model. The entire system constitutes a coupled opinion–dynamic model where two distinct processes occur. The question arises of how to properly align these dynamics, i.e., whether they should possess equal or disparate timescales. This paper highlights the impact of different timescales of opinion dynamics on epidemic spreading, focusing on the time and the infection’s peak.
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spelling pubmed-87748052022-01-21 Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks Jankowski, Robert Chmiel, Anna Entropy (Basel) Article Modelling the epidemic’s spread on multiplex networks, considering complex human behaviours, has recently gained the attention of many scientists. In this work, we study the interplay between epidemic spreading and opinion dynamics on multiplex networks. An agent in the epidemic layer could remain in one of five distinct states, resulting in the SIRQD model. The agent’s attitude towards respecting the restrictions of the pandemic plays a crucial role in its prevalence. In our model, the agent’s point of view could be altered by either conformism mechanism, social pressure, or independent actions. As the underlying opinion model, we leverage the q-voter model. The entire system constitutes a coupled opinion–dynamic model where two distinct processes occur. The question arises of how to properly align these dynamics, i.e., whether they should possess equal or disparate timescales. This paper highlights the impact of different timescales of opinion dynamics on epidemic spreading, focusing on the time and the infection’s peak. MDPI 2022-01-09 /pmc/articles/PMC8774805/ /pubmed/35052131 http://dx.doi.org/10.3390/e24010105 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jankowski, Robert
Chmiel, Anna
Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title_full Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title_fullStr Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title_full_unstemmed Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title_short Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
title_sort role of time scales in the coupled epidemic-opinion dynamics on multiplex networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774805/
https://www.ncbi.nlm.nih.gov/pubmed/35052131
http://dx.doi.org/10.3390/e24010105
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