• DocumentCode
    615250
  • Title

    Uncertain attribute graph model of web social network and its application

  • Author

    Chunying Zhang ; Xue Zhang

  • Author_Institution
    Coll. of Sci., Hebei United Univ., Tangshan, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    111
  • Lastpage
    116
  • Abstract
    Integrating characteristics\´ of uncertain graph and attribute graph, this paper presents" the uncertain attribute graph " concept on the basis of practical problem that relationship between individual and individual exists uncertainty and Individual and its relationship with attribute uncertainty in social network. And it descript its attribute. It respectively gives these concepts, edges uncertain attribute graph, vertices uncertain attribute graph, edges and vertices are uncertain attributes graph. It proves their property and their relationship with attribute graph, uncertain graph. It given uncertain attribute graph comprehensive model basis of considering the vertices and edges attributes may also exist uncertainty and it proves uncertain graph. Attribute graph are exceptions of uncertain attribute graph and uncertain attribute graph is their development research. At last the paper gives uncertain attribute sub-graph and its mining method. Analysis shows that, uncertain attribute graph can reflect the real structure of the Web social networking.
  • Keywords
    Internet; data mining; graph theory; social networking (online); Web social networking; edge uncertain attribute graph; uncertain attribute graph analysis; uncertain attribute graph comprehensive model; uncertain attribute subgraph mining method; vertice uncertain attribute graph; Computers; attribute graph; possible world graph; uncertain attribute graph; uncertain graph;
  • 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.2013.6553893
  • Filename
    6553893