Dynamical evolution of social network polarization and its impact on the propagation of a virus

• URL: http://arxiv.org/abs/2406.08299v1
• Date: Wed, 12 Jun 2024 15:00:05 GMT
• Title: Dynamical evolution of social network polarization and its impact on the propagation of a virus
• Authors: Ixandra Achitouv, David Chavalarias,
• Abstract summary: We analyse the dynamical polarization within a social network as well as the network properties before and after a vaccine was made available. 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. In polarized networks, we observe a significantly more widespread diffusion of the virus, highlighting the importance of considering polarization for epidemic forecasting.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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