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Emergence of Leadership in Communication

We study a neuro-inspired model that mimics a discussion (or information dissemination) process in a network of agents. During their interaction, agents redistribute activity and network weights, resulting in emergence of leader(s). The model is able to reproduce the basic scenarios of leadership kn...

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Detalles Bibliográficos
Autores principales: Allahverdyan, Armen E., Galstyan, Aram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988655/
https://www.ncbi.nlm.nih.gov/pubmed/27532484
http://dx.doi.org/10.1371/journal.pone.0159301
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author Allahverdyan, Armen E.
Galstyan, Aram
author_facet Allahverdyan, Armen E.
Galstyan, Aram
author_sort Allahverdyan, Armen E.
collection PubMed
description We study a neuro-inspired model that mimics a discussion (or information dissemination) process in a network of agents. During their interaction, agents redistribute activity and network weights, resulting in emergence of leader(s). The model is able to reproduce the basic scenarios of leadership known in nature and society: laissez-faire (irregular activity, weak leadership, sizable inter-follower interaction, autonomous sub-leaders); participative or democratic (strong leadership, but with feedback from followers); and autocratic (no feedback, one-way influence). Several pertinent aspects of these scenarios are found as well—e.g., hidden leadership (a hidden clique of agents driving the official autocratic leader), and successive leadership (two leaders influence followers by turns). We study how these scenarios emerge from inter-agent dynamics and how they depend on behavior rules of agents—in particular, on their inertia against state changes.
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spelling pubmed-49886552016-08-29 Emergence of Leadership in Communication Allahverdyan, Armen E. Galstyan, Aram PLoS One Research Article We study a neuro-inspired model that mimics a discussion (or information dissemination) process in a network of agents. During their interaction, agents redistribute activity and network weights, resulting in emergence of leader(s). The model is able to reproduce the basic scenarios of leadership known in nature and society: laissez-faire (irregular activity, weak leadership, sizable inter-follower interaction, autonomous sub-leaders); participative or democratic (strong leadership, but with feedback from followers); and autocratic (no feedback, one-way influence). Several pertinent aspects of these scenarios are found as well—e.g., hidden leadership (a hidden clique of agents driving the official autocratic leader), and successive leadership (two leaders influence followers by turns). We study how these scenarios emerge from inter-agent dynamics and how they depend on behavior rules of agents—in particular, on their inertia against state changes. Public Library of Science 2016-08-17 /pmc/articles/PMC4988655/ /pubmed/27532484 http://dx.doi.org/10.1371/journal.pone.0159301 Text en © 2016 Allahverdyan, Galstyan http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Allahverdyan, Armen E.
Galstyan, Aram
Emergence of Leadership in Communication
title Emergence of Leadership in Communication
title_full Emergence of Leadership in Communication
title_fullStr Emergence of Leadership in Communication
title_full_unstemmed Emergence of Leadership in Communication
title_short Emergence of Leadership in Communication
title_sort emergence of leadership in communication
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988655/
https://www.ncbi.nlm.nih.gov/pubmed/27532484
http://dx.doi.org/10.1371/journal.pone.0159301
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