• DocumentCode
    3184126
  • Title

    Dynamics of opinion forming in structurally balanced social networks

  • Author

    Altafini, Claudio

  • Author_Institution
    SISSA, Int. Sch. for Adv. Studies, Trieste, Italy
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    5876
  • Lastpage
    5881
  • Abstract
    The aim of this paper is to shed light on how the social relationships between individuals influence their opinions in the case of structurally balanced social networks. If we represent a social network as a signed graph in which individuals are the nodes and the signs of the edges represent friendly or hostile relationships, then the property of structural balance corresponds to the social community being splittable into two antagonistic factions, each containing only friends. A classical example of this situation is a two-party political system. The paper studies the process of opinion forming on such a social community, starting from the observation that the property of structural balance is formally analogous to the monotonicity property of dynamical systems. The paper shows that under the assumption that individuals are positively influenced by their friends and negatively influenced by their enemies, monotone dynamical systems, due to their order-preserving solutions, are natural candidates to describe the highly predictable process of opinion forming on structurally balanced networks.
  • Keywords
    network theory (graphs); social sciences; antagonistic factions; monotone dynamical systems; opinion forming; social community; social relationships; structurally balanced networks; structurally balanced social networks; two-party political system; Color; Communities; Context; Jacobian matrices; Social network services; Symmetric matrices; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6427064
  • Filename
    6427064