Emergence of leader-follower hierarchy among players in an on-line experiment

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2019Researchpeer-review

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Hierarchical networks are prevalent in nature and society, corresponding to groups of actors - animals, humans or even robots - organized according to a pyramidal structure with decision makers at the top and followers at the bottom. While this phenomenon is seemingly universal, the underlying governing principles are poorly understood. Here we study the emergence of hierarchies in groups of people playing a simple dot guessing game in controlled experiments, lasting for about 40 rounds, conducted over the Internet. During the games, the players had the possibility to look at the answer of a limited number of other players of their choice. This act of asking for advice defines a directed connection between the involved players, and according to our analysis, the initial random configuration of the emerging networks became more structured over time, showing signs of hierarchy towards the end of the game. In addition, the achieved score of the players appeared to be correlated with their position in the hierarchy. These results indicate that under certain conditions imitation and limited knowledge about the performance of other actors is sufficient for the emergence of hierarchy in a social group.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
EditorsAndrea Tagarelli, Chandan Reddy, Ulrik Brandes
PublisherIEEE
Publication date24 Oct 2018
Pages1184-1190
Article number8508278
ISBN (Electronic)9781538660515
DOIs
Publication statusPublished - 24 Oct 2018
Event10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - Barcelona, Spain
Duration: 28 Aug 201831 Aug 2018
Conference number: 10

Conference

Conference10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Number10
CountrySpain
CityBarcelona
Period28/08/201831/08/2018
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Emergence, Game, Hierarchy, Networks

ID: 172639957