Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Borge-Holthoefer, Javier, Baños, Raquel A., Gracia-Lázaro, Carlos, Moreno, Yamir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
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
_version_ 1782502642003476480
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
work_keys_str_mv AT borgeholthoeferjavier emergenceofconsensusasamodulartonestedtransitionincommunicationdynamics
AT banosraquela emergenceofconsensusasamodulartonestedtransitionincommunicationdynamics
AT gracialazarocarlos emergenceofconsensusasamodulartonestedtransitionincommunicationdynamics
AT morenoyamir emergenceofconsensusasamodulartonestedtransitionincommunicationdynamics