• DocumentCode
    615367
  • Title

    A Graph Clustering algorithm based on shared neighbors and connectivity

  • Author

    Zhang Huijuan ; Sun Shixuan

  • Author_Institution
    Sch. of Software Eng., Tongji Univ., Shanghai, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    Graph Clustering algorithm is useful to detect clusters in a graph. However, the existing algorithms are mainly focus on connectivity or attributes of vertices. In this paper, we propose a new algorithm called SNGC that both consider shared neighbors and connectivity between vertices. Furthermore, we implement this algorithm and test it in several experiments. The results show that the performance of SNGC algorithm is pretty well.
  • Keywords
    graph theory; pattern clustering; SNGC algorithm; cluster detection; connectivity; graph clustering algorithm; shared neighbors; vertex attributes; Clusters; Connectivity; Graph Clustering; Shared Neighbors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6554010
  • Filename
    6554010