期刊文献+

共引分析——研究学科及其文献结构和特点的一种有效方法 被引量:35

Co-citation Analysis—An Effective Method of Studying Subjects and the Structure and characteristics of their Documents
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摘要 利用聚类分析和多维标度技术对1987年农业科学文献进行了文章共引分析,即按被引次数及共引情况选出28篇文章作为分析对象,用多维标度技术把高维引文空间中的28个文献点以二维散点图的形式表示出来,并把这些点通过聚类分析圈成点群,根据这样的圈所提供的信息,分析讨论了农业科学及其文献的结构和特点。 In this paper, a co-citation analysis is made to the documents of agricultural science of the year 1987 by cluster analysis and multi-dimensional scaling. 28 articals are picked out as analytical objects according to the cited frequency and co-citation condition. 28 document dots in highdimensional citation space are showed with two dimentioned scattered dots diagram by multi-dimensional scaling technique, and these dots are circled to be dot groups through cluster analysis. Based on the information from the diagram, the agricultural science and the structure and characteristics of its documents are analyzed and discussed.
作者 赵党志
出处 《情报杂志》 CSSCI 北大核心 1993年第2期36-42,共7页 Journal of Intelligence
关键词 共引分析 农业科学 引文分析 co-citation analysis document analysis agricultural science
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参考文献2

  • 1H. Small,E. Sweeney,E. Greenlee. Clustering the science citation index using co-citations. II. Mapping science[J] 1985,Scientometrics(5-6):321~340
  • 2J. B. Kruskal. Nonmetric multidimensional scaling: A numerical method[J] 1964,Psychometrika(2):115~129

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