• DocumentCode
    560299
  • Title

    Comparison Research of Statistical Correlation Coefficient when Analyzing Theme Evolution

  • Author

    Fan, Zhao ; Ping, Zong

  • Author_Institution
    Libr., North China Electr. Power Univ., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-27 Nov. 2011
  • Firstpage
    503
  • Lastpage
    505
  • Abstract
    The research on similarity methodology of dynamic tracing disciplinary themes based on improved similarity algorithm is the improvement and perfection of current similarity methodology based on co-word analysis, and also is good supplement to the mapping method of dynamic tracing disciplinary themes based on co-word analysis. Statistical correlation coefficient is the key arithmetic when analyzing theme evolution. There are two kinds of methods used to compute the statistical correlation coefficient, and every method consists of some types of arithmetic again. This paper respectively had the comparative research on correlation coefficients belonging to corresponding large class and two large classes. Thus, we established the basis for the subsequent process in the analysis of theme evolution.
  • Keywords
    correlation methods; information analysis; statistical analysis; word processing; co-word analysis; dynamic tracing disciplinary themes; mapping method; similarity algorithm; statistical correlation coefficient; theme evolution; Analytical models; Clustering methods; Correlation; Data models; Euclidean distance; Information science; Vectors; arithmetic; comparison research; statistical correlation coefficient; theme evolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-450-3
  • Type

    conf

  • DOI
    10.1109/ICIII.2011.128
  • Filename
    6115058