70216 20200117213748.0 doi 10.1098/rsos.172265 sideral 105468 ART-2018-105468 eng Hernández, A.R. A networked voting rule for democratic representation 2018 Access copy available to the general public Unrestricted We introduce a general framework for exploring the problem of selecting a committee of representatives with the aim of studying a networked voting rule based on a decentralized large-scale platform, which can assure a strong accountability of the elected. The results of our simulations suggest that this algorithm-based approach is able to obtain a high representativeness for relatively small committees, performing even better than a classical voting rule based on a closed list of candidates. We show that a general relation between committee size and representatives exists in the form of an inverse square root law and that the normalized committee size approximately scales with the inverse of the community size, allowing the scalability to very large populations. These findings are not strongly influenced by the different networks used to describe the individuals’ interactions, except for the presence of few individuals with very high connectivity which can have a marginal negative effect in the committee selection process. info:eu-repo/grantAgreement/ES/MINECO/FIS2014-55867-P This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 662725-IBSEN info:eu-repo/grantAgreement/EC/H2020/662725/EU/Bridging the gap: from Individual Behaviour to the Socio-tEchnical MaN/IBSEN info:eu-repo/grantAgreement/ES/DGA/FENOL-GROUP info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.515 2018 MULTIDISCIPLINARY SCIENCES 25 / 69 = 0.362 2018 Q2 T2 1.131 2018 Multidisciplinary 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gracia-Lázaro, C. Brigatti, E. (orcid)0000-0002-0895-1893 Moreno, Y. Universidad de Zaragoza 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 5, 3 (2018), 172265 [9 pp] R. Soc. open sci. Royal Society Open Science 2054-5703 880467 http://zaguan.unizar.es/record/70216/files/texto_completo.pdf Versión publicada 77197 http://zaguan.unizar.es/record/70216/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:70216 articulos driver 2020-01-17-21:31:05 ARTICLE