• DocumentCode
    3579210
  • Title

    Discovering Most Influential Social Networks Nodes Based on Floating Influence

  • Author

    Zeng Wei ; Li Chuan ; Feng Bingqing ; Yang Ning ; Luo Qian

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Chengdu, China
  • fYear
    2014
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    Social network influence maximization problem aims to design algorithms that can maximize the scope of the nodes affected by the specified nodes set. This paper studies and improves existing algorithms by the introduction of hidden influence and floating influence. Experiments show that the HGA algorithm works more effectively.
  • Keywords
    social networking (online); HGA algorithm; floating influence; influential social networks nodes; social network influence maximization problem; specified nodes set; Algorithm design and analysis; Data mining; Greedy algorithms; Heuristic algorithms; Integrated circuit modeling; Knowledge discovery; Social network services; Floating influence; Hidden influence; Social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Big Data (CCBD), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/CCBD.2014.34
  • Filename
    7062887
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3579210