• DocumentCode
    1756829
  • Title

    Message Passing Optimization of Harmonic Influence Centrality

  • Author

    Vassio, Luca ; Fagnani, Fabio ; Frasca, Paolo ; Ozdaglar, Asuman

  • Author_Institution
    Dipt. di Ing. Meccanica e Aerospaziale, Politec. di Torino, Turin, Italy
  • Volume
    1
  • Issue
    1
  • fYear
    2014
  • fDate
    41699
  • Firstpage
    109
  • Lastpage
    120
  • Abstract
    This paper proposes a new measure of node centrality in social networks, the Harmonic Influence Centrality (HIC), which emerges naturally in the study of social influence over networks. Using an intuitive analogy between social and electrical networks, we introduce a distributed message passing algorithm to compute the HIC of each node. Although its design is based on theoretical results which assume the network to have no cycle, the algorithm can also be successfully applied on general graphs.
  • Keywords
    graph theory; message passing; network theory (graphs); social networking (online); social sciences computing; HIC measure; distributed message passing algorithm; electrical networks; general graphs; harmonic influence centrality; message passing optimization; node centrality measure; social influence; social networks; Algorithm design and analysis; Control systems; Harmonic analysis; Heuristic algorithms; Message passing; Resistance; Social network services; Centrality measures; distributed algorithms; message passing; opinion dynamics; social networks;
  • fLanguage
    English
  • Journal_Title
    Control of Network Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2325-5870
  • Type

    jour

  • DOI
    10.1109/TCNS.2014.2304870
  • Filename
    6732931