• DocumentCode
    3180931
  • Title

    Research on the competitiveness of social network node in the context of selection

  • Author

    Yao, Yingpu ; Ren, Licheng

  • Author_Institution
    Sch. of Econ. & Manage., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    2352
  • Lastpage
    2355
  • Abstract
    From the perspective of social networks,this paper makes quantitative analysis on the competitiveness of individuals in a competitive selection process. In the analysis of social network based on competitive selection, the paper uses degree centrality, betweenness centrality and social capital as the main indicators of node competitiveness. It proposes the calculation functions of competitiveness and uses the “vertical-and-horizontal” method to determine the weight coefficient. Finally, we use Markov model to predict the development trend of node competitiveness.
  • Keywords
    Markov processes; social networking (online); ubiquitous computing; Markov model; calculation function; competitive selection process; degree centrality; quantitative analysis; social capital; social network node competitiveness; vertical-and-horizontal method; weight coefficient; Context; Educational institutions; Humans; Markov processes; Organizations; Peer to peer computing; Social network services; Competitive Selection; Competitiveness; Markov Model; Social Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010967
  • Filename
    6010967