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Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust
Objective: To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure. Methods: In this paper, we introduce the concepts of “variation” and “oyst...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339600/ https://www.ncbi.nlm.nih.gov/pubmed/35923221 http://dx.doi.org/10.3389/ijph.2022.1604887 |
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author | Ju, Chunhua Wang, Chenyu Jiang, Yihao Bao, Fuguang Zhou, Huajian Xu, Chonghuan |
author_facet | Ju, Chunhua Wang, Chenyu Jiang, Yihao Bao, Fuguang Zhou, Huajian Xu, Chonghuan |
author_sort | Ju, Chunhua |
collection | PubMed |
description | Objective: To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure. Methods: In this paper, we introduce the concepts of “variation” and “oyster”, build a multi-layer coupled network environment combined with the ISOVR model, and conduct simulation experiments of network information dissemination based on the bounded trust model. Results: The experimental results reveal that the extent and scope of variation’s spread in the network are more dependent on the trust of nodes themselves, and decreasing the trust of nodes significantly reduces the rate and peak value of variation. Changing the silence coefficient of variation does not effectively change the direction of rumor propagation, which indicates that rumor has a strong propagation ability after mutation. Conclusion: The insights of this paper on the dissemination of public opinions include: 1) pay attention to people with high trust levels, such as opinion leaders; 2) clarify the misinformation in time to prevent further spread of rumors. |
format | Online Article Text |
id | pubmed-9339600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93396002022-08-02 Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust Ju, Chunhua Wang, Chenyu Jiang, Yihao Bao, Fuguang Zhou, Huajian Xu, Chonghuan Int J Public Health Public Health Archive Objective: To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure. Methods: In this paper, we introduce the concepts of “variation” and “oyster”, build a multi-layer coupled network environment combined with the ISOVR model, and conduct simulation experiments of network information dissemination based on the bounded trust model. Results: The experimental results reveal that the extent and scope of variation’s spread in the network are more dependent on the trust of nodes themselves, and decreasing the trust of nodes significantly reduces the rate and peak value of variation. Changing the silence coefficient of variation does not effectively change the direction of rumor propagation, which indicates that rumor has a strong propagation ability after mutation. Conclusion: The insights of this paper on the dissemination of public opinions include: 1) pay attention to people with high trust levels, such as opinion leaders; 2) clarify the misinformation in time to prevent further spread of rumors. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC9339600/ /pubmed/35923221 http://dx.doi.org/10.3389/ijph.2022.1604887 Text en Copyright © 2022 Ju, Wang, Jiang, Bao, Zhou and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Archive Ju, Chunhua Wang, Chenyu Jiang, Yihao Bao, Fuguang Zhou, Huajian Xu, Chonghuan Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title | Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title_full | Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title_fullStr | Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title_full_unstemmed | Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title_short | Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust |
title_sort | exploring a multi-layer coupled network propagation model based on information diffusion and bounded trust |
topic | Public Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339600/ https://www.ncbi.nlm.nih.gov/pubmed/35923221 http://dx.doi.org/10.3389/ijph.2022.1604887 |
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