Dynamical evolution of social network polarization and its impact on the propagation of a virus
<|reference_start|>Dynamical evolution of social network polarization and its impact on the propagation of a virus: 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.<|reference_end|>
@article{achitouv2024dynamical,
    title={Dynamical evolution of social network polarization and its impact on the
  propagation of a virus},
    author={Ixandra Achitouv and David Chavalarias},
    journal={arXiv preprint arXiv:2406.08299},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.08299},
    primaryClass={cs.SI cs.CY physics.soc-ph}
}