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Towards a computational network theory of social groups

Published online by Cambridge University Press:  07 July 2022

Daniel Redhead Open the ORCID record for Daniel Redhead [Opens in a new window] ,
Riana Minocher  and
Dominik Deffner
Daniel Redhead
Affiliation:
Department of Human Behaviour, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany danielredhead@eva.mpg.de
Riana Minocher
Affiliation:
Department of Human Behaviour, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany danielredhead@eva.mpg.de
Dominik Deffner
Affiliation:
Department of Human Behaviour, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany danielredhead@eva.mpg.de
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Abstract

Network theory is necessary for the realization of cognitive representations and resulting empirical observations of social groups. We propose that the triadic primitives denoting individual roles are multilayer, with positive and negative relations feeding into cost–benefit calculations. Through this, we advance a computational theory that generalizes to different scales and to contexts where conflict is not present.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 45 , 2022 , e120
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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