科研管理 ›› 2009, Vol. 30 ›› Issue (5): 187-195 .

• 论文 • 上一篇    

基于共被引率分析的期刊分类研究

王贤文1,2,刘则渊1   



  1. (1. 大连理工大学 WISE实验室,辽宁 大连116085;
    2.亚利桑那大学 Eller管理学院 管理信息系统系 人工智能实验室 图森 85721,美国)
  • 收稿日期:2008-06-19 修回日期:2008-10-14 出版日期:2009-09-20 发布日期:2009-09-20

Study on journal classification based on co-citation ratio analysis

Wang Xianwen1,2, Liu Zeyuan1   


  1. (1. WISE LAB, Dalian University of Technology, Dalian 116085, China;
    2. Artificial Intelligence Lab, Department of Management Information Systems, Eller College of Management,
    The University of Arizona, Tucson, AZ 85721, USA)
  • Received:2008-06-19 Revised:2008-10-14 Online:2009-09-20 Published:2009-09-20

摘要: 摘要:本文利用Web of Science中的Cited Reference Search功能,在整个数据库中检索期刊的共被引次数矩阵,可以最大程度地保持数据的完整性。根据本文提出的计算期刊共被引率矩阵的方法,通过将期刊的共被引情况标准化,可以减少数据误差。随后作者从JCR的4个学科中随机选择若干种期刊,对该方法进行了实证检验,聚类的结果与JCR中的期刊学科分类完全一致。作者进一步以SSCI收录的78种管理学期刊为研究对象,检索和计算期刊共被引率矩阵,利用社会网络分析工具Netdraw进行网络结构的分析,研究管理学学科的内部知识结构和知识交流情况。

关键词: Web of Science, 共被引率, 期刊分类, 管理学, 社会网络分析

Abstract: Abstract: A method using Cited Reference Search in Web of Science to search the matrix of co-citation amounts among journals in the whole database is introduced; the complete co-citation matrix could be got. Then the co-citation ratio of the matrix is calculated and a clustering analysis is made. The co-citation ratio matrix is the standardization of co-citation matrix, which could reduce the data error. After that, the sample journals are randomly selected from 4 subjects in JCR, and an empirical analysis to this method is carried on. The results of clustering analysis fit completely close to the classification in JCR. Further, an analysis on 78 management journals indexed in JCR-SSCI is made, the co-citation ratio matrix is searched and calculated, Netdraw is used to cluster the journals, and analyze the inner knowledge structure and knowledge communication of management science.

Key words: Web of Science, co-citation ratio, journal classification, management, social network analysis

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