• DocumentCode
    3564963
  • Title

    Scientific Research Collaboration Hypernetwork Modeling and Node Importance Measuring

  • Author

    Quan Xiao

  • Author_Institution
    Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2014
  • Firstpage
    108
  • Lastpage
    113
  • Abstract
    In research collaboration organizations, to evaluate the contributions of researchers and then to identify core researchers is an important issue. Network is a basic model to investigate this question, but with increasingly complex collaborative behavior, it shows limitations for semantic representations. In this paper, by introducing hyper network, a more powerful modeling tool than traditional network to construct scientific research collaboration hyper network (SRCH), we measure the importance of researchers in two aspects as collaborative relationship structure and collaborative achievement value. An additive weighting method with adjustable parameters is utilized to integrate the evaluations into a synthetical one. Data instance verifies that our measuring method for SRCH is reasonable and effective.
  • Keywords
    network theory (graphs); scientific information systems; SRCH; additive weighting method; collaboration organizations; collaborative achievement value; collaborative relationship structure; complex collaborative behavior; node importance measurement; scientific research collaboration hypernetwork modeling; semantic representations; Collaboration; Economics; Educational institutions; Finance; Knowledge engineering; Organizations; Social network services; adjustable parameter; node importance; scientific research collaboration hypernetwork;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMeCG.2014.31
  • Filename
    7046900