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http://arxiv.org/pdf/1901.0850...
Conference object
Data sources: UnpayWall
https://doi.org/10.1109/asonam...
Other literature type . Conference object . 2018
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Emergence of Leader-Follower Hierarchy Among Players in an On-Line Experiment

Authors: Bálint J. Tóth; Gergely Palla; Enys Mones; Gergo Havadi; Nóra Páll; Péter Pollner; Tamás Vicsek;

Emergence of Leader-Follower Hierarchy Among Players in an On-Line Experiment

Abstract

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.

Subjects by Vocabulary

Microsoft Academic Graph classification: Structure (mathematical logic) Hierarchy business.industry media_common.quotation_subject Social group Phenomenon Position (finance) The Internet Psychology business Imitation Advice (complexity) Cognitive psychology media_common

ACM Computing Classification System: ComputingMilieux_PERSONALCOMPUTING

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    impulse
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    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Funded by
EC| RED-Alert
Project
RED-Alert
Real-time Early Detection and Alert System for Online Terrorist Content based on Natural Language Processing, Social Network Analysis, Artificial Intelligence and Complex Event Processing
  • Funder: European Commission (EC)
  • Project Code: 740688
  • Funding stream: H2020 | RIA
Validated by funder
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