• DocumentCode
    677604
  • Title

    An agent-based simulation study of a complex adaptive collaboration network

  • Author

    Ozmen, Ozgur ; Smith, Johan ; Yilmaz, Levent

  • Author_Institution
    Comput. Sci. & Eng. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    412
  • Lastpage
    423
  • Abstract
    One of the most significant problems in organizational scholarship is to discern how social collectives govern, organize, and coordinate the actions of individuals to achieve collective outcomes. The collectives are usually interpreted as complex adaptive systems (CAS). The understanding of CAS is more likely to arise with the help of computer-based simulations. In this tutorial, using agent-based modeling approach, a complex adaptive social communication network model is introduced. The objective is to present the underlying dynamics of the system in a form of computer simulation that enables analyzing the impacts of various mechanisms on network topologies and emergent behaviors. The ultimate goal is to further our understanding of the dynamics in the system and facilitate developing informed policies for decision-makers.
  • Keywords
    decision making; groupware; large-scale systems; multi-agent systems; network topology; social networking (online); CAS; agent-based modeling approach; agent-based simulation; complex adaptive collaboration network; complex adaptive social communication network model; complex adaptive systems; computer-based simulation; decision making; network topology; organizational scholarship; Adaptation models; Adaptive systems; Collaboration; Computational modeling; Global Positioning System; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721438
  • Filename
    6721438