79763 20200716101506.0 doi 10.1140/epjds/s13688-019-0200-1 sideral 112663 ART-2019-112663 eng (orcid)0000-0002-1192-8707 Aleta, A. Universidad de Zaragoza The dynamics of collective social behavior in a crowd controlled game 2019 Access copy available to the general public Unrestricted Despite many efforts, the behavior of a crowd is not fully understood. The advent of modern communication means has made it an even more challenging problem, as crowd dynamics could be driven by both human-to-human and human-technology interactions. Here, we study the dynamics of a crowd controlled game (Twitch Plays Pokemon), in which nearly a million players participated during more than two weeks. Unlike other online games, in this event all the players controlled exactly the same character and thus it represents an exceptional example of a collective mind working to achieve a certain goal. We dissect the temporal evolution of the system dynamics along the two distinct phases that characterized the game. We find that having a fraction of players who do not follow the crowd''s average behavior is key to succeed in the game. The latter finding can be well explained by an nth order Markov model that reproduces the observed behavior. Secondly, we analyze a phase of the game in which players were able to decide between two different modes of playing, mimicking a voting system. We show that the introduction of this system clearly polarized the community, splitting it in two. Finally, we discuss one of the peculiarities of these groups in the light of the social identity theory, which appears to describe well some of the observed dynamics. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.873 2019 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 19 / 106 = 0.179 2019 Q1 T1 SOCIAL SCIENCES, MATHEMATICAL METHODS 8 / 51 = 0.157 2019 Q1 T1 0.903 2019 Computer Science Applications 2019 Q1 Modeling and Simulation 2019 Q1 Computational Mathematics 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-0895-1893 Moreno, Y. Universidad de Zaragoza 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 8 (2019), 22 [16 pp] EPJ data sci. EPJ Data Science 2193-1127 1751165 http://zaguan.unizar.es/record/79763/files/texto_completo.pdf Versión publicada 89365 http://zaguan.unizar.es/record/79763/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:79763 articulos driver 2020-07-16-09:16:22 ARTICLE