• DocumentCode
    3720004
  • Title

    Community detection in social network: Literature review and research perspectives

  • Author

    Souhel Bouhali;Mehdi Ellouze

  • Author_Institution
    REGIM, Research Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Sfax, Tunisia
  • fYear
    2015
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a lot of work. The challenge is how to identify inside these networks, groups of persons strongly linked and sharing the same preferences. As in the literature, there are many works trying to detect communities we tried in this paper to do a review of the most important ones and we tried to present some tips for improvement of obtained results.
  • Keywords
    "Clustering algorithms","Partitioning algorithms","Complex networks","Social network services","Image edge detection","Optimization","Classification algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Service Operations And Logistics, And Informatics (SOLI), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SOLI.2015.7367608
  • Filename
    7367608