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An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution
This paper sheds light on the general mechanisms underlying large-scale social and institutional change. We employ an agent-based model to test the impact of authority centralization and social network technology on preference falsification and institutional change. We find that preference falsifica...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837003/ https://www.ncbi.nlm.nih.gov/pubmed/24278280 http://dx.doi.org/10.1371/journal.pone.0080380 |
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author | Makowsky, Michael D. Rubin, Jared |
author_facet | Makowsky, Michael D. Rubin, Jared |
author_sort | Makowsky, Michael D. |
collection | PubMed |
description | This paper sheds light on the general mechanisms underlying large-scale social and institutional change. We employ an agent-based model to test the impact of authority centralization and social network technology on preference falsification and institutional change. We find that preference falsification is increasing with centralization and decreasing with social network range. This leads to greater cascades of preference revelation and thus more institutional change in highly centralized societies and this effect is exacerbated at greater social network ranges. An empirical analysis confirms the connections that we find between institutional centralization, social radius, preference falsification, and institutional change. |
format | Online Article Text |
id | pubmed-3837003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38370032013-11-25 An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution Makowsky, Michael D. Rubin, Jared PLoS One Research Article This paper sheds light on the general mechanisms underlying large-scale social and institutional change. We employ an agent-based model to test the impact of authority centralization and social network technology on preference falsification and institutional change. We find that preference falsification is increasing with centralization and decreasing with social network range. This leads to greater cascades of preference revelation and thus more institutional change in highly centralized societies and this effect is exacerbated at greater social network ranges. An empirical analysis confirms the connections that we find between institutional centralization, social radius, preference falsification, and institutional change. Public Library of Science 2013-11-21 /pmc/articles/PMC3837003/ /pubmed/24278280 http://dx.doi.org/10.1371/journal.pone.0080380 Text en © 2013 Makowsky, Rubin http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Makowsky, Michael D. Rubin, Jared An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title | An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title_full | An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title_fullStr | An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title_full_unstemmed | An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title_short | An Agent-Based Model of Centralized Institutions, Social Network Technology, and Revolution |
title_sort | agent-based model of centralized institutions, social network technology, and revolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837003/ https://www.ncbi.nlm.nih.gov/pubmed/24278280 http://dx.doi.org/10.1371/journal.pone.0080380 |
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