Graphical analysis of agent-based opinion formation models.

Bibliographic Details
Title:	Graphical analysis of agent-based opinion formation models.
Authors:	Carlos Andrés Devia, Giulia Giordano
Source:	PLoS ONE, Vol 19, Iss 5, p e0303204 (2024)
Publisher Information:	Public Library of Science (PLoS), 2024.
Publication Year:	2024
Collection:	LCC:Medicine LCC:Science
Subject Terms:	Medicine, Science
More Details:	Agent-based models of opinion formation are becoming increasingly complex, because of their size and of the embedding of several individual psychological traits of the agents, aimed at realistically capturing the multifaceted aspects of social interaction. Therefore, the characterisation of the model properties mostly relies on simulation-based numerical approaches: more techniques are needed to analyse, contrast, and compare the properties of different models. We propose a novel graphical technique, which relies on the Agreement Plot to visualise the evolution of opinion distributions over time, that allows us to unveil behavioural patterns and capabilities of agent-based opinion formation models. Our proposed approach can be used to characterise the relation between global properties of the model evolution and the model features (initial opinion distributions, agent parameters, underlying digraphs), and is here showcased through its application to both seminal and recently proposed opinion formation models.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1932-6203
Relation:	https://doaj.org/toc/1932-6203
DOI:	10.1371/journal.pone.0303204
Access URL:	https://doaj.org/article/46b25ecfaa18496ba1ac5fb84930e0b9
Accession Number:	edsdoj.46b25ecfaa18496ba1ac5fb84930e0b9
Database:	Directory of Open Access Journals
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More Details
ISSN:	19326203
DOI:	10.1371/journal.pone.0303204
Published in:	PLoS ONE
Language:	English