• DocumentCode
    116727
  • Title

    Extension of Modularity Density for overlapping community structure

  • Author

    Mingming Chen ; Kuzmin, Konstantin ; Szymanski, Boleslaw K.

  • Author_Institution
    Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2014
  • fDate
    17-20 Aug. 2014
  • Firstpage
    856
  • Lastpage
    863
  • Abstract
    Modularity is widely used to effectively measure the strength of the disjoint community structure found by community detection algorithms. Although several overlapping extensions of modularity were proposed to measure the quality of overlapping community structure, there is lack of systematic comparison of different extensions. To fill this gap, we overview overlapping extensions of modularity to select the best. In addition, we extend the Modularity Density metric to enable its usage for overlapping communities. The experimental results on four real networks using overlapping extensions of modularity, overlapping modularity density, and six other community quality metrics show that the best results are obtained when the product of the belonging coefficients of two nodes is used as the belonging function. Moreover, our experiments indicate that overlapping modularity density is a better measure of the quality of overlapping community structure than other metrics considered.
  • Keywords
    network theory (graphs); community detection algorithms; community quality metrics; disjoint community structure; modularity density extension; modularity density metric; overlapping community structure; overlapping modularity density; Communities; Conferences; Equations; Image edge detection; Mathematical model; Measurement; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ASONAM.2014.6921686
  • Filename
    6921686