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Why continuous discussion can promote the consensus of opinions?
Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is almost surely within finite steps. This is a quite certain result, and reflects the real-wo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748869/ https://www.ncbi.nlm.nih.gov/pubmed/29355202 http://dx.doi.org/10.1186/s40649-016-0035-x |
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author | Li, Zhenpeng Tang, Xijin Chen, Benhui Yang, Jian Su, Peng |
author_facet | Li, Zhenpeng Tang, Xijin Chen, Benhui Yang, Jian Su, Peng |
author_sort | Li, Zhenpeng |
collection | PubMed |
description | Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is almost surely within finite steps. This is a quite certain result, and reflects the real-world common phenomenon. In addition, we give a convergence time lower bound. Although our explanations are purely based on mathematic deduction, it shows that the latent social influence structure is the key factor for the persistence of disagreement and formation of opinions convergence or consensus in the real world social system. |
format | Online Article Text |
id | pubmed-5748869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-57488692018-01-19 Why continuous discussion can promote the consensus of opinions? Li, Zhenpeng Tang, Xijin Chen, Benhui Yang, Jian Su, Peng Comput Soc Netw Research Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is almost surely within finite steps. This is a quite certain result, and reflects the real-world common phenomenon. In addition, we give a convergence time lower bound. Although our explanations are purely based on mathematic deduction, it shows that the latent social influence structure is the key factor for the persistence of disagreement and formation of opinions convergence or consensus in the real world social system. Springer International Publishing 2016-11-21 2016 /pmc/articles/PMC5748869/ /pubmed/29355202 http://dx.doi.org/10.1186/s40649-016-0035-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Li, Zhenpeng Tang, Xijin Chen, Benhui Yang, Jian Su, Peng Why continuous discussion can promote the consensus of opinions? |
title | Why continuous discussion can promote the consensus of opinions? |
title_full | Why continuous discussion can promote the consensus of opinions? |
title_fullStr | Why continuous discussion can promote the consensus of opinions? |
title_full_unstemmed | Why continuous discussion can promote the consensus of opinions? |
title_short | Why continuous discussion can promote the consensus of opinions? |
title_sort | why continuous discussion can promote the consensus of opinions? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748869/ https://www.ncbi.nlm.nih.gov/pubmed/29355202 http://dx.doi.org/10.1186/s40649-016-0035-x |
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