Multipolar dynamics of social segregation: Data validation on Swedish vaccination statistics

Fuente: arXiv
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Autori principali: Baković, Luka, Ohlin, David, Tegling, Emma
Natura: Preprint
Pubblicazione: 2025
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author Baković, Luka
Ohlin, David
Tegling, Emma
author_facet Baković, Luka
Ohlin, David
Tegling, Emma
contents We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlation of biases is demonstrated as necessary for the result. A mixing of the biases on the other hand leads to a more homogeneous opinion distribution, and greater penetration of the majority opinion, which here corresponds to a decision to vote or vaccinate.
format Preprint
id arxiv_https___arxiv_org_abs_2510_13396
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multipolar dynamics of social segregation: Data validation on Swedish vaccination statistics
Baković, Luka
Ohlin, David
Tegling, Emma
Systems and Control
93-10
We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlation of biases is demonstrated as necessary for the result. A mixing of the biases on the other hand leads to a more homogeneous opinion distribution, and greater penetration of the majority opinion, which here corresponds to a decision to vote or vaccinate.
title Multipolar dynamics of social segregation: Data validation on Swedish vaccination statistics
topic Systems and Control
93-10
url https://arxiv.org/abs/2510.13396