Structural Balance of Opinions

The concept of Heider balance, usually applied to interpersonal relations, is generalized here to opinions gathered in surveys. At first, we compare four algorithms, which drive a matrix dataset to a balanced state. The criterion is that the final state obtained with an algorithm should be as close...

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Autores principales: Malgorzata J. Krawczyk, Krzysztof Kułakowski
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/45887e8f58524bf0bdd862178d4e0f11
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spelling oai:doaj.org-article:45887e8f58524bf0bdd862178d4e0f112021-11-25T17:29:30ZStructural Balance of Opinions10.3390/e231114181099-4300https://doaj.org/article/45887e8f58524bf0bdd862178d4e0f112021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1418https://doaj.org/toc/1099-4300The concept of Heider balance, usually applied to interpersonal relations, is generalized here to opinions gathered in surveys. At first, we compare four algorithms, which drive a matrix dataset to a balanced state. The criterion is that the final state obtained with an algorithm should be as close as possible to the initial state. The result is that deterministic differential equations work better than their Monte Carlo counterparts. Next, we apply the winning algorithms to the matrix of correlations between opinions gathered in American states between 1974 and 1998. The results are interpreted in terms of the classic comfort hypothesis (E. Babbie, 2007).Malgorzata J. KrawczykKrzysztof KułakowskiMDPI AGarticleHeider balancenonlinear dynamicsAmerican statescomfort hypothesisScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1418, p 1418 (2021)
institution DOAJ
collection DOAJ
language EN
topic Heider balance
nonlinear dynamics
American states
comfort hypothesis
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
spellingShingle Heider balance
nonlinear dynamics
American states
comfort hypothesis
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
Malgorzata J. Krawczyk
Krzysztof Kułakowski
Structural Balance of Opinions
description The concept of Heider balance, usually applied to interpersonal relations, is generalized here to opinions gathered in surveys. At first, we compare four algorithms, which drive a matrix dataset to a balanced state. The criterion is that the final state obtained with an algorithm should be as close as possible to the initial state. The result is that deterministic differential equations work better than their Monte Carlo counterparts. Next, we apply the winning algorithms to the matrix of correlations between opinions gathered in American states between 1974 and 1998. The results are interpreted in terms of the classic comfort hypothesis (E. Babbie, 2007).
format article
author Malgorzata J. Krawczyk
Krzysztof Kułakowski
author_facet Malgorzata J. Krawczyk
Krzysztof Kułakowski
author_sort Malgorzata J. Krawczyk
title Structural Balance of Opinions
title_short Structural Balance of Opinions
title_full Structural Balance of Opinions
title_fullStr Structural Balance of Opinions
title_full_unstemmed Structural Balance of Opinions
title_sort structural balance of opinions
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/45887e8f58524bf0bdd862178d4e0f11
work_keys_str_mv AT malgorzatajkrawczyk structuralbalanceofopinions
AT krzysztofkułakowski structuralbalanceofopinions
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