Dynamical evolution of social network polarization and its impact on the propagation of a virus
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866911914523623424 |
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| author | Achitouv, Ixandra Chavalarias, David |
| author_facet | Achitouv, Ixandra Chavalarias, David |
| contents | The COVID-19 pandemic that emerged in 2020 has highlighted the complex interplay between vaccine hesitancy and societal polarization. In this study, we analyse the dynamical polarization within a social network as well as the network properties before and after a vaccine was made available. Our results show that as the network evolves from a less structured state to one with more clustered communities. Then using an agent-based modeling approach, we simulate the propagation of a virus in a polarized society by assigning vaccines to pro-vaccine individuals and none to the anti-vaccine individuals. We compare this propagation to the case where the same number of vaccines is distributed homogeneously across the population. In polarized networks, we observe a significantly more widespread diffusion of the virus, highlighting the importance of considering polarization for epidemic forecasting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_08299 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamical evolution of social network polarization and its impact on the propagation of a virus Achitouv, Ixandra Chavalarias, David Social and Information Networks Computers and Society Physics and Society The COVID-19 pandemic that emerged in 2020 has highlighted the complex interplay between vaccine hesitancy and societal polarization. In this study, we analyse the dynamical polarization within a social network as well as the network properties before and after a vaccine was made available. Our results show that as the network evolves from a less structured state to one with more clustered communities. Then using an agent-based modeling approach, we simulate the propagation of a virus in a polarized society by assigning vaccines to pro-vaccine individuals and none to the anti-vaccine individuals. We compare this propagation to the case where the same number of vaccines is distributed homogeneously across the population. In polarized networks, we observe a significantly more widespread diffusion of the virus, highlighting the importance of considering polarization for epidemic forecasting. |
| title | Dynamical evolution of social network polarization and its impact on the propagation of a virus |
| topic | Social and Information Networks Computers and Society Physics and Society |
| url | https://arxiv.org/abs/2406.08299 |