Globally Emergent Behavioral Patterns, as a Result of Local Interactions in Strongly Interrelated Individuals

Christos Manolopoulos (), Yannis C. Stamatiou () and Rozina Eustathiadou ()
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Christos Manolopoulos: Computer Technology Institute and Press – “Diophantus”
Yannis C. Stamatiou: Computer Technology Institute and Press – “Diophantus”
Rozina Eustathiadou: Computer Technology Institute and Press – “Diophantus”

A chapter in Eurasian Economic Perspectives, 2021, pp 383-398 from Springer

Abstract: Abstract In this paper, we study how local interactions in suitably structured social networks give rise to globally emergent states and observable patterns. An example of such states and patterns is the emergence of Panopticon-like structures that possess global surveillance properties. Our methodology is based on elements of game theory and innovation diffusion graph processes modeling social network local interactions. We provide an example of a simple social network structure in which collective actions induce the emergence of specific behaviors due to the effects of the local dynamics inherent in strongly interconnected individuals. Our work provides a framework for studying and explaining how specific social interaction patterns produce already observable global social patterns.

Keywords: Social networks; Privacy; Surveillance; Game theory; Graph theory; Outerplanar graphs (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-030-63149-9_24

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DOI: 10.1007/978-3-030-63149-9_24

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