• DocumentCode
    2125000
  • Title

    Identification of Web Communities through Link Based Approaches

  • Author

    Sharan, Aditi ; Gupta, Sonu Lal

  • Author_Institution
    Sch. of Comput. & Syst. Sci., Jawaharlal Nehru Univ., New Delhi
  • fYear
    2009
  • fDate
    3-5 April 2009
  • Firstpage
    703
  • Lastpage
    708
  • Abstract
    WWW has grown rapidly in recent years which has enabled us to obtain much information on various fields. At the same time it is becoming difficult to obtain really relevant web pages on a specific topic. Therefore it becomes very important today to extract web pages related to certain information topically. Recently it has become popular to call a collection of web pages sharing certain information as web community. Identifying good quality web community is still a challenging problem. Different notions and methods for identifying web communities have been proposed. In this paper we provide a frame work for identifying web communities using link based approaches. We have discussed and analyzed various link based approaches for identifying web communities. Based on extensive survey we have tried to identify problems/limitations of these approaches and discussed some extensions of these approaches.
  • Keywords
    Web sites; information retrieval; WWW; Web communities identification; Web pages; information sharing; link based approaches; Algorithm design and analysis; Bipartite graph; Data mining; Information management; Information retrieval; Optical computing; Search engines; Web mining; Web pages; World Wide Web; Bipartite graph; Link analysis; Maximum flow algorithm; Web community; Web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering, 2009. ICIME '09. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3595-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2009.69
  • Filename
    5077125