• DocumentCode
    184480
  • Title

    On optimal link creation for facilitation of consensus in social networks

  • Author

    Fardad, Mohammad ; Fu Lin ; Jovanovic, Mihailo R.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    3790
  • Lastpage
    3795
  • Abstract
    We consider the problem of reaching consensus in a social network of agents described by the DeGroot model. We develop a measure for the efficiency with which consensus is reached, where the measure quantifies the transient behavior of public opinion around the consensus value. We then propose an optimization problem that maximizes consensus-reaching efficiency via the creation of new social links, subject to a total link-creation budget. We employ the alternating direction method of multipliers, an algorithm well-suited to large optimization problems, to find the optimal location and weights of the new links. We demonstrate the utility of our results through an example, where we observe that for a social network described by a regular graph the addition of new links leads to an augmented graph that resembles a small-world network characterized by sparse long-range links.
  • Keywords
    graph theory; optimisation; small-world networks; social sciences; DeGroot model; consensus-reaching efficiency; link-creation budget; optimal link creation; optimization problem; public opinion; regular graph; small-world network; social network; sparse long-range link; transient behavior; Eigenvalues and eigenfunctions; Equations; Optimization; Social network services; Steady-state; Symmetric matrices; Transient analysis; Alternating direction method of multipliers; DeGroot model; consensus; opinion dynamics; optimization; small-world networks; social networks; sparsity; stochastic matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859126
  • Filename
    6859126