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Social influence and interaction bias can drive emergent behavioural specialization and modular social networks across systems

Author(s): Tokita, Christopher K.; Tarnita, Corina E.

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Abstract: In social systems ranging from ant colonies to human society, behavioural specialization—consistent individual differences in behaviour—is commonplace: individuals can specialize in the tasks they perform (division of labour (DOL)), the political behaviour they exhibit ( political polarization) or the non-task behaviours they exhibit (personalities). Across these contexts, behavioural specialization often co-occurs with modular and assortative social networks, such that individuals tend to associate with others that have the same behavioural specialization. This raises the question of whether a common mechanism could drive co-emergent behavioural specialization and social network structure across contexts. To investigate this question, here we extend a model of self-organized DOL to account for social influence and interaction bias among individuals—social dynamics that have been shown to drive political polarization. We find that these same social dynamics can also drive emergent DOL by forming a feedback loop that reinforces behavioural differences between individuals, a feedback loop that is impacted by group size. Moreover, this feedback loop also results in modular and assortative social network structure, whereby individuals associate strongly with those performing the same task. Our findings suggest that DOL and political polarization—two social phenomena not typically considered together—may actually share a common social mechanism. This mechanism may result in social organization in many contexts beyond task performance and political behaviour.
Publication Date: 29-Jan-2020
Citation: Tokita, CK, Tarnita, CE. (2020). Social influence and interaction bias can drive emergent behavioural specialization and modular social networks across systems. Journal of The Royal Society Interface, 17 (162), 20190564. doi:10.1098/rsif.2019.0564
DOI: doi:10.1098/rsif.2019.0564
Pages: 1 - 11
Type of Material: Journal Article
Journal/Proceeding Title: Journal of The Royal Society Interface
Version: Final published version. This is an open access article.



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