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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8774805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jankowskirobert roleoftimescalesinthecoupledepidemicopiniondynamicsonmultiplexnetworks AT chmielanna roleoftimescalesinthecoupledepidemicopiniondynamicsonmultiplexnetworks |