• DocumentCode
    2268290
  • Title

    Evolutionary dynamics of revolution: Opinion modeling in society based on graphs and rules

  • Author

    Farley, Jonathan David ; Markowsky, George

  • Author_Institution
    Dept. of Appl. Math., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    780
  • Lastpage
    784
  • Abstract
    Individuals are not electrons. But in some situations, they behave very much alike. When it comes to many social and political questions, individuals´ complex attitudes and beliefs must be boiled down to a simple yea (“spin up”) or nay (“spin down”). Although human societies, like physical materials, are very complex, some of their properties can be determined by understanding the interactions that occur between individuals (“atoms”). In particular, the spread of a particular political opinion throughout a society can be modeled as the macroscopic manifestation of the myriad exchanges occurring at the local level between individuals and their neighbors. This model can in future studies be used to gain a qualitative foothold on the evolution of public opinion in various countries for or against the government.
  • Keywords
    social sciences; evolutionary dynamics; human societies; opinion modeling; political opinion; political questions; public opinion; social questions; Computational modeling; Educational institutions; Fluctuations; Mathematical model; Presses; Psychology; Turing machines; Ising model; cellular automata; evolutionary dynamics; phase transition; revolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4577-1426-9
  • Type

    conf

  • DOI
    10.1109/IDAACS.2011.6072876
  • Filename
    6072876