Kinetic SIS opinion-driven models with asymmetric awareness feedback: macroscopic limit and polarization
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912963422584832 |
|---|---|
| author | Pinasco, Juan Pablo Saintier, Nicolas Tettamanti, Horacio Zanella, Mattia |
| author_facet | Pinasco, Juan Pablo Saintier, Nicolas Tettamanti, Horacio Zanella, Mattia |
| contents | We study a kinetic multi-agent framework coupling opinion dynamics with epidemic spreading, where individual social behaviour both affects and is affected by disease transmission. Each agent is characterised by an epidemiological state and a continuous opinion variable measuring compliance with non-pharmaceutical interventions. The key mechanism of the model is an asymmetric opinion update driven by epidemic encounters: infection events induce more cautious attitudes, while failed transmissions push individuals toward more extreme opinions. We focus on a prototypical SIS setting, for which we derive a macroscopic kinetic description and, in a fast social-interaction regime, a reduced system of differential equations capturing the feedback between epidemic prevalence and opinion evolution. Convergence of the reduced model is rigorously quantified through a modified Wasserstein distance. Numerical simulations highlight how infection-induced awareness and non-infection-driven extremization jointly shape collective epidemic-opinion dynamics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_12041 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Kinetic SIS opinion-driven models with asymmetric awareness feedback: macroscopic limit and polarization Pinasco, Juan Pablo Saintier, Nicolas Tettamanti, Horacio Zanella, Mattia Physics and Society 92D30, 35Q20, 35Q84, 35Q92 We study a kinetic multi-agent framework coupling opinion dynamics with epidemic spreading, where individual social behaviour both affects and is affected by disease transmission. Each agent is characterised by an epidemiological state and a continuous opinion variable measuring compliance with non-pharmaceutical interventions. The key mechanism of the model is an asymmetric opinion update driven by epidemic encounters: infection events induce more cautious attitudes, while failed transmissions push individuals toward more extreme opinions. We focus on a prototypical SIS setting, for which we derive a macroscopic kinetic description and, in a fast social-interaction regime, a reduced system of differential equations capturing the feedback between epidemic prevalence and opinion evolution. Convergence of the reduced model is rigorously quantified through a modified Wasserstein distance. Numerical simulations highlight how infection-induced awareness and non-infection-driven extremization jointly shape collective epidemic-opinion dynamics. |
| title | Kinetic SIS opinion-driven models with asymmetric awareness feedback: macroscopic limit and polarization |
| topic | Physics and Society 92D30, 35Q20, 35Q84, 35Q92 |
| url | https://arxiv.org/abs/2603.12041 |