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Emergence of consensus as a modular-to-nested transition in communication dynamics
Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dyn...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5278396/ https://www.ncbi.nlm.nih.gov/pubmed/28134358 http://dx.doi.org/10.1038/srep41673 |
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author | Borge-Holthoefer, Javier Baños, Raquel A. Gracia-Lázaro, Carlos Moreno, Yamir |
author_facet | Borge-Holthoefer, Javier Baños, Raquel A. Gracia-Lázaro, Carlos Moreno, Yamir |
author_sort | Borge-Holthoefer, Javier |
collection | PubMed |
description | Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics. In addition, as recently shown, information ecosystems are highly competitive, with humans and memes striving for scarce resources –visibility and attention, respectively. Inspired by similar problems in ecology, here we develop a methodology that allows to cast all the previous aspects into a compact framework and to characterize, using microblogging data, information-driven systems as mutualistic networks. Our results show that collective attention around a topic is reached when the user-meme network self-adapts from a modular to a nested structure, which ultimately allows minimizing competition and attaining consensus. Beyond a sociological interpretation, we explore such resemblance to natural mutualistic communities via well-known dynamics of ecological systems. |
format | Online Article Text |
id | pubmed-5278396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52783962017-02-03 Emergence of consensus as a modular-to-nested transition in communication dynamics Borge-Holthoefer, Javier Baños, Raquel A. Gracia-Lázaro, Carlos Moreno, Yamir Sci Rep Article Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics. In addition, as recently shown, information ecosystems are highly competitive, with humans and memes striving for scarce resources –visibility and attention, respectively. Inspired by similar problems in ecology, here we develop a methodology that allows to cast all the previous aspects into a compact framework and to characterize, using microblogging data, information-driven systems as mutualistic networks. Our results show that collective attention around a topic is reached when the user-meme network self-adapts from a modular to a nested structure, which ultimately allows minimizing competition and attaining consensus. Beyond a sociological interpretation, we explore such resemblance to natural mutualistic communities via well-known dynamics of ecological systems. Nature Publishing Group 2017-01-30 /pmc/articles/PMC5278396/ /pubmed/28134358 http://dx.doi.org/10.1038/srep41673 Text en Copyright © 2017, The Author(s) 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 Borge-Holthoefer, Javier Baños, Raquel A. Gracia-Lázaro, Carlos Moreno, Yamir Emergence of consensus as a modular-to-nested transition in communication dynamics |
title | Emergence of consensus as a modular-to-nested transition in communication dynamics |
title_full | Emergence of consensus as a modular-to-nested transition in communication dynamics |
title_fullStr | Emergence of consensus as a modular-to-nested transition in communication dynamics |
title_full_unstemmed | Emergence of consensus as a modular-to-nested transition in communication dynamics |
title_short | Emergence of consensus as a modular-to-nested transition in communication dynamics |
title_sort | emergence of consensus as a modular-to-nested transition in communication dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5278396/ https://www.ncbi.nlm.nih.gov/pubmed/28134358 http://dx.doi.org/10.1038/srep41673 |
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