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Analyzing a networked social algorithm for collective selection of representative committees

A recent work (Hernández, et al., 2018) introduced a networked voting rule supported by a trust-based social network, where indications of possible representatives were based on individuals opinions. Individual contributions went beyond a simple vote-counting and were based on proxy voting. This mec...

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Detalles Bibliográficos
Autores principales: Hernández, Alexis R., Gracia-Lázaro, Carlos, Brigatti, Edgardo, Moreno, Yamir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763197/
https://www.ncbi.nlm.nih.gov/pubmed/31557209
http://dx.doi.org/10.1371/journal.pone.0222945
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author Hernández, Alexis R.
Gracia-Lázaro, Carlos
Brigatti, Edgardo
Moreno, Yamir
author_facet Hernández, Alexis R.
Gracia-Lázaro, Carlos
Brigatti, Edgardo
Moreno, Yamir
author_sort Hernández, Alexis R.
collection PubMed
description A recent work (Hernández, et al., 2018) introduced a networked voting rule supported by a trust-based social network, where indications of possible representatives were based on individuals opinions. Individual contributions went beyond a simple vote-counting and were based on proxy voting. This mechanism selects committees with high levels of representativeness, weakening the possibility of patronage relations. By incorporating the integrity of individuals and its perception, we here address the question of the resulting committee’s trustability. Our results show that this voting rule provides sufficiently small committees with high levels of representativeness and integrity. Furthermore, the voting system displays robustness to strategic and untruthful application of the voting algorithm.
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spelling pubmed-67631972019-10-12 Analyzing a networked social algorithm for collective selection of representative committees Hernández, Alexis R. Gracia-Lázaro, Carlos Brigatti, Edgardo Moreno, Yamir PLoS One Research Article A recent work (Hernández, et al., 2018) introduced a networked voting rule supported by a trust-based social network, where indications of possible representatives were based on individuals opinions. Individual contributions went beyond a simple vote-counting and were based on proxy voting. This mechanism selects committees with high levels of representativeness, weakening the possibility of patronage relations. By incorporating the integrity of individuals and its perception, we here address the question of the resulting committee’s trustability. Our results show that this voting rule provides sufficiently small committees with high levels of representativeness and integrity. Furthermore, the voting system displays robustness to strategic and untruthful application of the voting algorithm. Public Library of Science 2019-09-26 /pmc/articles/PMC6763197/ /pubmed/31557209 http://dx.doi.org/10.1371/journal.pone.0222945 Text en © 2019 Hernández et al 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
Hernández, Alexis R.
Gracia-Lázaro, Carlos
Brigatti, Edgardo
Moreno, Yamir
Analyzing a networked social algorithm for collective selection of representative committees
title Analyzing a networked social algorithm for collective selection of representative committees
title_full Analyzing a networked social algorithm for collective selection of representative committees
title_fullStr Analyzing a networked social algorithm for collective selection of representative committees
title_full_unstemmed Analyzing a networked social algorithm for collective selection of representative committees
title_short Analyzing a networked social algorithm for collective selection of representative committees
title_sort analyzing a networked social algorithm for collective selection of representative committees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763197/
https://www.ncbi.nlm.nih.gov/pubmed/31557209
http://dx.doi.org/10.1371/journal.pone.0222945
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