Visualization the Subject Structure of International Management Science by Co-word Analysis

Hongjiang Yue
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Abstract

Co-word analysis is a bibliometric technique used to create atlas of science and related issues. Based on the co-occurrence frequency of pairs of words or phrases, co-word analysis is used to discover linkages among subjects in a research field and thus to trace the development of science. The aim of this study is to visualization the subject structure of the field of international management science during the period of 2002-2006. Co-word analysis was employed to reveal patterns and trends in the international management science field by measuring the association strengths of terms representative of relevant publications. Data were collected from selected 52 kinds of international journal papers collected from Social Science Citation Index (SSCI). In addition to the keywords added by SSCI databases. Observe the co-word try to distinguish its dynamic development and evolution, and with the help of discipline knowledge to explain these information, mine the knowledge mode of its research field. The results show that the international management science field has some established research themes and it also changes rapidly to embrace new themes.
用共词分析法可视化国际管理学学科结构
共词分析是一种文献计量学技术,用于创建科学和相关问题的地图集。共词分析是通过对词或词组的共现频率来发现某一研究领域各学科之间的联系,从而追踪科学的发展。本研究的目的是对2002-2006年国际管理科学领域的学科结构进行可视化分析。通过测量相关出版物中具有代表性的术语的关联强度,采用共词分析来揭示国际管理科学领域的模式和趋势。数据来源于社会科学引文索引(SSCI)收录的52种国际期刊论文。除SSCI数据库中添加的关键词外。观察共词试图辨析其动态发展演变,并借助学科知识对这些信息进行解释,挖掘其研究领域的知识模式。结果表明,国际管理科学领域既有一些既定的研究主题,也在迅速变化,不断接受新的研究主题。
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