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基于共词分析法的学科主题演化研究方法的构建
引用本文:唐果媛. 基于共词分析法的学科主题演化研究方法的构建[J]. 图书情报工作, 2017, 61(23): 100-107. DOI: 10.13266/j.issn.0252-3116.2017.23.012
作者姓名:唐果媛
作者单位:中国科学院文献情报中心 北京 100190 中国科学院大学 北京 100049
摘    要:[目的/意义]相比于以单纯的关键词统计排序为主的词频分析法,和以文献作为分析对象、需要庞大的引文索引作为基础的共引分析法,共词分析法具有一定的优势。因此,基于共词分析法来研究学科主题演化规律。[方法/过程]构建基于共词分析法的学科主题演化研究方法,包括4个模块,分别是:数据准备、演化阶段划分、主题识别和主题演化分析。[结果/结论]在主题识别阶段改进了词频g指数来选取共词分析的对象;在主题演化分析模块,提出从静态和动态两个角度来分析学科主题的演化情况,构建三维战略坐标来进行静态分析,并构建学科主题演化现象识别模型来进行动态分析。

关 键 词:共词分析法  学科主题演化  词频g指数  三维战略坐标  
收稿时间:2017-06-29

Building the Method System of the Subject Theme Evolution Based on the Co-word Analysis Method
Tang Guoyuan. Building the Method System of the Subject Theme Evolution Based on the Co-word Analysis Method[J]. Library and Information Service, 2017, 61(23): 100-107. DOI: 10.13266/j.issn.0252-3116.2017.23.012
Authors:Tang Guoyuan
Affiliation:National Science Library, Chinese Academy of Sciences, Beijing 100190 University of Chinese Academy of Sciences, Beijing 100049
Abstract:[Purpose/significance] Compared with the word frequency analysis method based on the simple keywords statistics and the co-citation analysis whose analysis object is the literature and based on the huge citation indexes, the co-word analysis has certain advantages. This paper will research the laws of subject theme evolution based on the co-word analysis method.[Method/process] This paper built the method of subject theme evolution based on the co-word analysis method. It included four modules:data preparation, evolution phasing, theme identification, and analysis of the theme evolution. [Result/conclusion] This paper uses the improved word frequency g index to select the object of co-word analysis in the module of theme identification. This paper analyzes the subject theme evolution from both static and dynamic perspectives. This paper presents a three-dimensional strategic diagram for the static analysis, and builds the recognition model of the subject theme evolutionary phenomenon for the dynamic analysis.
Keywords:co-word analysis  subject theme evolution  word frequency g index  three-dimensional strategic co-ordinates  
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