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Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure

The purpose of this study is to examine the role of interaction between mass media and people in the diffusion of innovation using the Trust–Distrust model, one of the theories of opinion dynamics. Therefore, in this study, we ran simulations using the Trust–Distrust model to confirm the differences...

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Detalles Bibliográficos
Autor principal: Fujii, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383692/
https://www.ncbi.nlm.nih.gov/pubmed/35992373
http://dx.doi.org/10.1007/s12626-022-00113-z
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author Fujii, Makoto
author_facet Fujii, Makoto
author_sort Fujii, Makoto
collection PubMed
description The purpose of this study is to examine the role of interaction between mass media and people in the diffusion of innovation using the Trust–Distrust model, one of the theories of opinion dynamics. Therefore, in this study, we ran simulations using the Trust–Distrust model to confirm the differences in opinion distribution across different network structures. We used the five adopter categories as the agents of the Trust–Distrust model and applied the random network, scale-free network, and small-world network as the networks for simulation. As a result, we confirmed that differences in network structure lead to differences in the diffusion of innovations (distribution of opinions).
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spelling pubmed-93836922022-08-17 Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure Fujii, Makoto Rev Socionetwork Strateg Article The purpose of this study is to examine the role of interaction between mass media and people in the diffusion of innovation using the Trust–Distrust model, one of the theories of opinion dynamics. Therefore, in this study, we ran simulations using the Trust–Distrust model to confirm the differences in opinion distribution across different network structures. We used the five adopter categories as the agents of the Trust–Distrust model and applied the random network, scale-free network, and small-world network as the networks for simulation. As a result, we confirmed that differences in network structure lead to differences in the diffusion of innovations (distribution of opinions). Springer Nature Singapore 2022-08-17 2022 /pmc/articles/PMC9383692/ /pubmed/35992373 http://dx.doi.org/10.1007/s12626-022-00113-z Text en © Springer Japan KK, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Fujii, Makoto
Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title_full Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title_fullStr Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title_full_unstemmed Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title_short Simulations of the Diffusion of Innovation by Trust–Distrust Model Focusing on the Network Structure
title_sort simulations of the diffusion of innovation by trust–distrust model focusing on the network structure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383692/
https://www.ncbi.nlm.nih.gov/pubmed/35992373
http://dx.doi.org/10.1007/s12626-022-00113-z
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