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The social brain: scale-invariant layering of Erdős–Rényi networks in small-scale human societies
Author(s) -
Michael Harré,
Mikhail Prokopenko
Publication year - 2016
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2016.0044
Subject(s) - dominance (genetics) , scale (ratio) , scale invariance , dominance hierarchy , social group , cognition , hierarchy , set (abstract data type) , social network (sociolinguistics) , social psychology , psychology , sociology , computer science , mathematics , geography , statistics , biology , political science , biochemistry , cartography , neuroscience , world wide web , gene , social media , law , programming language , aggression
The cognitive ability to form social links that can bind individuals together into large cooperative groups for safety and resource sharing was a key development in human evolutionary and social history. The ‘social brain hypothesis’ argues that the size of these social groups is based on a neurologically constrained capacity for maintaining long-term stable relationships. No model to date has been able to combine a specific socio-cognitive mechanism with the discrete scale invariance observed in ethnographic studies. We show that these properties result in nested layers of self-organizing Erdős–Rényi networks formed by each individual's ability to maintain only a small number of social links. Each set of links plays a specific role in the formation of different social groups. The scale invariance in our model is distinct from previous ‘scale-free networks’ studied using much larger social groups; here, the scale invariance is in the relationship between group sizes, rather than in the link degree distribution. We also compare our model with a dominance-based hierarchy and conclude that humans were probably egalitarian in hunter–gatherer-like societies, maintaining an average maximum of four or five social links connecting all members in a largest social network of around 132 people.

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