• DocumentCode
    2057785
  • Title

    Social Interactions Representation as Users Behavioral Contingencies and Evaluation in Social Networks

  • Author

    Gomes, Alan Keller ; Pimentel, Maria Da Graça C

  • Author_Institution
    Univ. de Sao Paulo, Sao Paulo, Brazil
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    275
  • Lastpage
    278
  • Abstract
    In social network analysis, models for the representation of user´s interactions do not explain which actions are performed during social interactions, and which types of media are used in the interactions. We present a novel technique for the representation of social interactions as users´ behavioral contingencies in the form of if-then rules, and for the evaluation of the contingencies using data mining procedures. We present the results of applying our technique in a group of Facebook users, identifying the social interactions in which users were more involved the most.
  • Keywords
    behavioural sciences; data mining; social networking (online); social sciences computing; Facebook users; data mining; if-then rule; social interactions representation; social network analysis; user behavioral contingencies; user interaction representation; Correlation; Data mining; Facebook; Games; Machine learning; Media; Social Networks; User Behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Palo Alto, CA
  • Print_ISBN
    978-1-4577-1648-5
  • Electronic_ISBN
    978-0-7695-4492-2
  • Type

    conf

  • DOI
    10.1109/ICSC.2011.103
  • Filename
    6061346