• DocumentCode
    1913844
  • Title

    Investigating social dynamics and global connectivity: An agent-based modeling approach

  • Author

    Sokolowski, John A. ; Banks, Catherine M.

  • Author_Institution
    Virginia Modeling, Anal. & Simulation Center, Old Dominion Univ., Suffolk, VA, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    733
  • Lastpage
    740
  • Abstract
    Social scientists have been exploring the factors that contribute to the assimilation and standardization of population as they affect a populace over a period of time. Research in this field has made the case for employing agent-based models to investigate this social phenomena. This research builds on the basic tenants of these previous approaches as a way to investigate the nature of global connectivity as it affects the standardization of a strong central culture of a specific region. The simulation runs conducted in this study make clear that the more cultural features that “characterize” agents, the less likely it is for their cultures to assimilate. The simulations also indicate that even when a culture has a 50%-60% chance of being attracted to the features of an outside culture, almost total cultural migration is possible. The paper presents an agent-based modeling approach to analyze dynamic (fluid) cultural change vis-à-vis global connectivity.
  • Keywords
    social sciences; software agents; agent-based modeling approach; cultural migration; global connectivity; social dynamics; Adaptation model; Analytical models; Biological system modeling; Couplings; Cultural differences; Media; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5679116
  • Filename
    5679116