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Agreement threshold on Axelrod’s model of cultural dissemination
Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set of features which each holds one of a set of nominally related traits. Survey da...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266322/ https://www.ncbi.nlm.nih.gov/pubmed/32484846 http://dx.doi.org/10.1371/journal.pone.0233995 |
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author | MacCarron, Pádraig Maher, Paul J. Fennell, Susan Burke, Kevin Gleeson, James P. Durrheim, Kevin Quayle, Michael |
author_facet | MacCarron, Pádraig Maher, Paul J. Fennell, Susan Burke, Kevin Gleeson, James P. Durrheim, Kevin Quayle, Michael |
author_sort | MacCarron, Pádraig |
collection | PubMed |
description | Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set of features which each holds one of a set of nominally related traits. Survey data has a similar structure, where each participant answers each of a set of items with responses from a fixed list. We present an alternative method of displaying the Axelrod model by representing it as a bipartite graph, i.e., participants and their responses as separate nodes. This allows us to see which feature-trait combinations are selected in the final state. This visualisation is particularly useful when representing survey data as it illustrates the co-evolution of attitudes and opinion-based groups in Axelrod’s model of cultural diffusion. We also present a modification to the Axelrod model. A standard finding of the Axelrod model with many features is for all agents to fully agree in one cluster. We introduce an agreement threshold and allow nodes to interact only with those neighbours who are within this threshold (i.e., those with similar opinions) rather than those with any opinion. This method reliably yields a large number of clusters for small agreement thresholds and, importantly, does not limit to single cluster when the number of features grows large. This potentially provides a method for modelling opinion-based groups where as opinions are added, the number of clusters increase. |
format | Online Article Text |
id | pubmed-7266322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72663222020-06-10 Agreement threshold on Axelrod’s model of cultural dissemination MacCarron, Pádraig Maher, Paul J. Fennell, Susan Burke, Kevin Gleeson, James P. Durrheim, Kevin Quayle, Michael PLoS One Research Article Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set of features which each holds one of a set of nominally related traits. Survey data has a similar structure, where each participant answers each of a set of items with responses from a fixed list. We present an alternative method of displaying the Axelrod model by representing it as a bipartite graph, i.e., participants and their responses as separate nodes. This allows us to see which feature-trait combinations are selected in the final state. This visualisation is particularly useful when representing survey data as it illustrates the co-evolution of attitudes and opinion-based groups in Axelrod’s model of cultural diffusion. We also present a modification to the Axelrod model. A standard finding of the Axelrod model with many features is for all agents to fully agree in one cluster. We introduce an agreement threshold and allow nodes to interact only with those neighbours who are within this threshold (i.e., those with similar opinions) rather than those with any opinion. This method reliably yields a large number of clusters for small agreement thresholds and, importantly, does not limit to single cluster when the number of features grows large. This potentially provides a method for modelling opinion-based groups where as opinions are added, the number of clusters increase. Public Library of Science 2020-06-02 /pmc/articles/PMC7266322/ /pubmed/32484846 http://dx.doi.org/10.1371/journal.pone.0233995 Text en © 2020 MacCarron et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article MacCarron, Pádraig Maher, Paul J. Fennell, Susan Burke, Kevin Gleeson, James P. Durrheim, Kevin Quayle, Michael Agreement threshold on Axelrod’s model of cultural dissemination |
title | Agreement threshold on Axelrod’s model of cultural dissemination |
title_full | Agreement threshold on Axelrod’s model of cultural dissemination |
title_fullStr | Agreement threshold on Axelrod’s model of cultural dissemination |
title_full_unstemmed | Agreement threshold on Axelrod’s model of cultural dissemination |
title_short | Agreement threshold on Axelrod’s model of cultural dissemination |
title_sort | agreement threshold on axelrod’s model of cultural dissemination |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266322/ https://www.ncbi.nlm.nih.gov/pubmed/32484846 http://dx.doi.org/10.1371/journal.pone.0233995 |
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