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

Bakovic, Luka LU ; Ohlin, David LU orcid and Tegling, Emma LU orcid (2025) 11th International Conference on Control, Decision and Information Technologies, CoDIT 2025 In 11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025 p.455-460
Abstract

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. Lastly, the model is shown to compare favorably to a na-ve linear prediction method.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Graphs and Networks, Nonlinear Systems
host publication
11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025
series title
11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
11th International Conference on Control, Decision and Information Technologies, CoDIT 2025
conference location
Split, Croatia
conference dates
2025-07-15 - 2025-07-18
external identifiers
  • scopus:105032743221
ISBN
9798331503383
DOI
10.1109/CoDIT66093.2025.11321864
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 IEEE.
id
c350bec0-e531-44fe-a261-b20b91fcfbb4
date added to LUP
2026-05-19 15:43:06
date last changed
2026-05-19 15:43:31
@inproceedings{c350bec0-e531-44fe-a261-b20b91fcfbb4,
  abstract     = {{<p>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. Lastly, the model is shown to compare favorably to a na-ve linear prediction method.</p>}},
  author       = {{Bakovic, Luka and Ohlin, David and Tegling, Emma}},
  booktitle    = {{11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025}},
  isbn         = {{9798331503383}},
  keywords     = {{Graphs and Networks; Nonlinear Systems}},
  language     = {{eng}},
  pages        = {{455--460}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025}},
  title        = {{Multipolar dynamics of social segregation : Data validation on Swedish vaccination statistics}},
  url          = {{http://dx.doi.org/10.1109/CoDIT66093.2025.11321864}},
  doi          = {{10.1109/CoDIT66093.2025.11321864}},
  year         = {{2025}},
}