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。

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.