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Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism

Perret, Cedric; Powers, Simon T.; Pitt, Jeremy; Hart, Emma

Authors

Cedric Perret

Jeremy Pitt



Contributors

Takashi Ikegami
Editor

Nathaniel Virgo
Editor

Olaf Witkowski
Editor

Mizuki Oka
Editor

Reiji Suzuki
Editor

Hiroyuki Iizuka
Editor

Abstract

Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders' decisions by aggregating their own and their neighbours' experience, and in response challenge despotic leaders. But in hierarchical social networks, this interactional justice can be limited by (i) the high influence of a small clique who are treated better, and (ii) the low connectedness of followers. Here we study how the connectedness of a social network affects the co-evolution of despotism in leaders and tolerance to despotism in followers. We simulate the evolution of a population of agents, where the influence of an agent is its number of social links. Whether a leader remains in power is controlled by the overall satisfaction of group members, as determined by their joint assessment of the leaders behaviour. We demonstrate that centralization of a social network around a highly influential clique greatly increases the level of despotism. This is because the clique is more satisfied, and their higher influence spreads their positive opinion of the leader throughout the network. Finally, our results suggest that increasing the connectedness of followers limits despotism while maintaining hierarchy.

Citation

Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Life. https://doi.org/10.1162/isal_a_00058

Conference Name The 2018 Conference on Artificial Life
Conference Location Tokyo, Japan
Start Date Jul 23, 2018
End Date Jul 27, 2018
Acceptance Date May 7, 2018
Online Publication Date Jul 18, 2018
Publication Date 2018
Deposit Date Jun 7, 2018
Publicly Available Date Jun 7, 2018
Publisher MIT Press
Book Title Proceedings of the 2018 Conference on Artificial Life
DOI https://doi.org/10.1162/isal_a_00058
Keywords Social networks, hierarchy, inequality, despotic leadership,
Public URL http://researchrepository.napier.ac.uk/Output/1200146

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2018 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license








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