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Social elites can emerge naturally when interaction in networks is restricted

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  • Tamás Dávid-Barrett
  • R.I.M. Dunbar

Abstract

Animal (and human) societies characterized by dominance hierarchies invariably suffer from inequality. The rise of inequality has 3 main prerequisites: 1) a group in which inequality can emerge, 2) the existence of differences in payoff, and 3) a mechanism that initiates, accumulates, and propagates the differences. Hitherto, 2 kinds of models have been used to study the processes involved. In winner–loser models of inequality (typical in zoology), the 3 elements are independent. In division-of-labor models of inequality, the first 2 elements are linked, whereas the third is independent. In this article, we propose a new model, that of synchronized group action, in which all 3 elements are linked. Under these conditions, agent-based simulations of communal action in multilayered communities naturally give rise to endogenous status, emergent social stratification, and the rise of elite cliques. We show that our 3 emergent social phenomena (status, stratification, and elite formation) react to natural variations in merit (the capacity to influence others’ decisions). We also show that the group-level efficiency and inequality consequences of these emergent phenomena define a space for social institutions that optimize efficiency gain in some fitness-related respect, while controlling the loss of efficiency and equality in other respects.

Suggested Citation

  • Tamás Dávid-Barrett & R.I.M. Dunbar, 2014. "Social elites can emerge naturally when interaction in networks is restricted," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(1), pages 58-68.
  • Handle: RePEc:oup:beheco:v:25:y:2014:i:1:p:58-68.
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    File URL: http://hdl.handle.net/10.1093/beheco/art085
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    References listed on IDEAS

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    1. Guy Theraulaz & Eric Bonabeau & Jean-Louis Deneubourg, 1998. "Response Threshold Reinforcement and Division of Labor in Insect Societies," Working Papers 98-01-006, Santa Fe Institute.
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    Cited by:

    1. Tamas David-Barrett, 2022. "Clustering Drives Cooperation on Reputation Networks, All Else Fixed," Papers 2203.00372, arXiv.org.

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