• Title of article

    Co-word analysis using the Chinese character set

  • Author/Authors

    Loet Leydesdorff1، نويسنده , , Ping Zhou2، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2008
  • Pages
    3
  • From page
    1528
  • To page
    1530
  • Abstract
    Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information but also meaning. This may enhance the readability of semantic maps. In this study, we analyze 58 words which occur 10 or more times in the 1,652 journal titles of the China Scientific and Technical Papers and Citations Database. The word-occurrence matrix is visualized and factor-analyzed.
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Serial Year
    2008
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Record number

    993794