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Contagion on complex networks with persuasion

The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in social networks and introduce a persuasion mechanism into the threshold model. Specifically, we study a combination of adoption and pe...

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Detalles Bibliográficos
Autores principales: Huang, Wei-Min, Zhang, Li-Jie, Xu, Xin-Jian, Fu, Xinchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815014/
https://www.ncbi.nlm.nih.gov/pubmed/27029498
http://dx.doi.org/10.1038/srep23766
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author Huang, Wei-Min
Zhang, Li-Jie
Xu, Xin-Jian
Fu, Xinchu
author_facet Huang, Wei-Min
Zhang, Li-Jie
Xu, Xin-Jian
Fu, Xinchu
author_sort Huang, Wei-Min
collection PubMed
description The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in social networks and introduce a persuasion mechanism into the threshold model. Specifically, we study a combination of adoption and persuasion in cascading processes on complex networks. It is found that with the introduction of the persuasion mechanism, the system may become more vulnerable to global cascades, and the effects of persuasion tend to be more significant in heterogeneous networks than those in homogeneous networks: a comparison between heterogeneous and homogeneous networks shows that under weak persuasion, heterogeneous networks tend to be more robust against random shocks than homogeneous networks; whereas under strong persuasion, homogeneous networks are more stable. Finally, we study the effects of adoption and persuasion threshold heterogeneity on systemic stability. Though both heterogeneities give rise to global cascades, the adoption heterogeneity has an overwhelmingly stronger impact than the persuasion heterogeneity when the network connectivity is sufficiently dense.
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spelling pubmed-48150142016-04-04 Contagion on complex networks with persuasion Huang, Wei-Min Zhang, Li-Jie Xu, Xin-Jian Fu, Xinchu Sci Rep Article The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in social networks and introduce a persuasion mechanism into the threshold model. Specifically, we study a combination of adoption and persuasion in cascading processes on complex networks. It is found that with the introduction of the persuasion mechanism, the system may become more vulnerable to global cascades, and the effects of persuasion tend to be more significant in heterogeneous networks than those in homogeneous networks: a comparison between heterogeneous and homogeneous networks shows that under weak persuasion, heterogeneous networks tend to be more robust against random shocks than homogeneous networks; whereas under strong persuasion, homogeneous networks are more stable. Finally, we study the effects of adoption and persuasion threshold heterogeneity on systemic stability. Though both heterogeneities give rise to global cascades, the adoption heterogeneity has an overwhelmingly stronger impact than the persuasion heterogeneity when the network connectivity is sufficiently dense. Nature Publishing Group 2016-03-31 /pmc/articles/PMC4815014/ /pubmed/27029498 http://dx.doi.org/10.1038/srep23766 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Huang, Wei-Min
Zhang, Li-Jie
Xu, Xin-Jian
Fu, Xinchu
Contagion on complex networks with persuasion
title Contagion on complex networks with persuasion
title_full Contagion on complex networks with persuasion
title_fullStr Contagion on complex networks with persuasion
title_full_unstemmed Contagion on complex networks with persuasion
title_short Contagion on complex networks with persuasion
title_sort contagion on complex networks with persuasion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815014/
https://www.ncbi.nlm.nih.gov/pubmed/27029498
http://dx.doi.org/10.1038/srep23766
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