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

In: Eurasian Economic Perspectives

Author

Listed:
  • Christos Manolopoulos

    (Computer Technology Institute and Press – “Diophantus”)

  • Yannis C. Stamatiou

    (Computer Technology Institute and Press – “Diophantus”
    University of Patras and Computer Technology and Press – “Diophantus”)

  • Rozina Eustathiadou

    (Computer Technology Institute and Press – “Diophantus”)

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.

Suggested Citation

  • Christos Manolopoulos & Yannis C. Stamatiou & Rozina Eustathiadou, 2021. "Globally Emergent Behavioral Patterns, as a Result of Local Interactions in Strongly Interrelated Individuals," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Sofia Vale (ed.), Eurasian Economic Perspectives, pages 383-398, Springer.
    • Handle: RePEc:spr:eurchp:978-3-030-63149-9_24
    DOI: 10.1007/978-3-030-63149-9_24
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