• DocumentCode
    507673
  • Title

    Measuring Distribution of Knowledge Production on China Social Sciences

  • Author

    Yue, Hongjiang

  • Author_Institution
    Nanjing Audit Univ., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Based on the data covered by China social science citation index (CSSCI), two scientometric models-rank-frequency distribution-exponential function and negative power function, concentration measurement are used. Quantitative characteristics of social science papers, citation were analyzed through distribution of region, institution and discipline in China. The results concern (a) No matter the index of papers upon social science, or the citation index reflects paper´s influence, or the input index effects the output of papers upon social science, according to regions, organizations or academic discipline, their rank-frequency distribution modes are stable and unified, all of which are negative exponential distributions; (b) from the comparison of Beijing, Shanghai and from economics, politics and the region distribution of social science papers, it can find the self similarity phenomenon.
  • Keywords
    citation analysis; indexing; social sciences; China social science citation index; concentration measurement; economics; knowledge production dsitribution; negative exponential distribution; negative power function; scientometric models-rank-frequency distribution-exponential function; Citation analysis; Exponential distribution; Frequency estimation; Humans; Knowledge acquisition; Large-scale systems; Power generation economics; Power measurement; Production; Statistical distributions; exponential function; knowledge production; models-rank-frequency; negative power function; social science papers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.167
  • Filename
    5362345