Complex Sciences. Second International Conference, COMPLEX 2012, Santa Fe, NM, USA, December 5-7, 2012, Revised Selected Papers

Research Article

The Role of Community Structure in Opinion Cluster Formation

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  • @INPROCEEDINGS{10.1007/978-3-319-03473-7_11,
        author={Ryan Hammer and Thomas Moore and Patrick Finley and Robert Glass},
        title={The Role of Community Structure in Opinion Cluster Formation},
        proceedings={Complex Sciences. Second International Conference, COMPLEX 2012, Santa Fe, NM, USA, December 5-7, 2012, Revised Selected Papers},
        proceedings_a={COMPLEX},
        year={2013},
        month={11},
        keywords={Social networks community structure complex networks opinion dynamics agent-based models complex systems},
        doi={10.1007/978-3-319-03473-7_11}
    }
    
  • Ryan Hammer
    Thomas Moore
    Patrick Finley
    Robert Glass
    Year: 2013
    The Role of Community Structure in Opinion Cluster Formation
    COMPLEX
    Springer
    DOI: 10.1007/978-3-319-03473-7_11
Ryan Hammer1,*, Thomas Moore1,*, Patrick Finley1,*, Robert Glass1,*
  • 1: Sandia National Laboratories
*Contact email: rhammer@sandia.gov, tmoore@sandia.gov, pdfinle@sandia.gov, rjglass@sandia.gov

Abstract

Opinion clustering arises from the collective behavior of a social network. We apply an Opinion Dynamics model to investigate opinion cluster formation in the presence of community structure. Opinion clustering is influenced by the properties of individuals (nodes) and network topology. We determine the sensitivity of opinion cluster formation to changes in node tolerance levels through parameter sweeps. We investigate the effect of network community structure through rewiring the network to lower the community structure. Tolerance variation modifies the effects of community structure on opinion clustering: higher values of tolerance lead to less distinct opinion clustering. Community structure is found to inhibit network wide clusters from forming. We claim that advancing understanding of the role of community structure in social networks can help lead to more informed and effective public health policy.