Collective behaviors: Systemic view of distinct forces in a new framework

Arash Vesaghi, Nasrin Khansari, Mo Mansouri

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Investigating emergence properties of complex adaptive systems has received a great deal of attention since Schelling's model of segregation and Granovetter's threshold model on opinion dynamics. In the past 50 years, the notion of consensus as emerging characteristic has been studied in different disciplines such as sociology, psychology, economics, systems engineering, and physics. Different models have been proposed to explain and examine the collective behaviors. The topic is mostly discussed as social phenomenon, and opinion dynamic models are the foundation to explain consensus. Thus, identifying underlying mechanisms is a common concern. Despite extensive literature, absence of unified framework to consolidate these studies is clear. Here, a short review of existing literature and proposed framework is presented to assist with binding these studies. The proposed framework classifies three independent forces: (1) External, (2) Network, and (3) Memory. Measuring influence of these forces in some cases is hard; nevertheless, the appreciation of distinct processes is valuable for decisionmakers. Each force should be activated or countered accordingly.

Original languageEnglish
Title of host publicationDisciplinary Convergence in Systems Engineering Research
Pages741-749
Number of pages9
ISBN (Electronic)9783319622170
DOIs
StatePublished - 24 Nov 2017

Keywords

  • Collective behavior
  • Complex adaptive systems
  • Decision-making
  • Network effects
  • Network externalities

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