Optimal rewiring in coupled opinion and epidemic dynamics with vaccination
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866910285907886080 |
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| author | Oestereich, Andre Pires, Marcelo Crokidakis, Nuno Cajueiro, Daniel |
| author_facet | Oestereich, Andre Pires, Marcelo Crokidakis, Nuno Cajueiro, Daniel |
| contents | In this work, we study an epidemic model with vaccination coupled with opinion dynamics in a dynamic network. The network structure evolves as agents with differing opinions disconnect from one another and connect with agents that share similar opinions about vaccination. We consider a SIS-like model with an extra vaccinated state. Agents can have continuous opinions and every time an agent disconnects from a neighbor, they connect to a new neighbor. We have observed the emergence of network homophily and, in certain cases, the complete fragmentation of the network. Our Monte Carlo simulations also show first-order phase transitions with metastable states. An increase in the probability of rewiring yields a dual effect, namely: (a) in the short term, it has the potential to intensify the epidemic peak; (b) in the long term, it can diminish the rate of infection. This transient increase in the epidemic peak is attributed to the fragmentation of the network into smaller, disconnected sub-networks. Therefore, our results suggest that rewiring is optimal when it is as high as possible but before the network starts breaking apart. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_02488 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Optimal rewiring in coupled opinion and epidemic dynamics with vaccination Oestereich, Andre Pires, Marcelo Crokidakis, Nuno Cajueiro, Daniel Physics and Society In this work, we study an epidemic model with vaccination coupled with opinion dynamics in a dynamic network. The network structure evolves as agents with differing opinions disconnect from one another and connect with agents that share similar opinions about vaccination. We consider a SIS-like model with an extra vaccinated state. Agents can have continuous opinions and every time an agent disconnects from a neighbor, they connect to a new neighbor. We have observed the emergence of network homophily and, in certain cases, the complete fragmentation of the network. Our Monte Carlo simulations also show first-order phase transitions with metastable states. An increase in the probability of rewiring yields a dual effect, namely: (a) in the short term, it has the potential to intensify the epidemic peak; (b) in the long term, it can diminish the rate of infection. This transient increase in the epidemic peak is attributed to the fragmentation of the network into smaller, disconnected sub-networks. Therefore, our results suggest that rewiring is optimal when it is as high as possible but before the network starts breaking apart. |
| title | Optimal rewiring in coupled opinion and epidemic dynamics with vaccination |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2305.02488 |