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基于Web of Science学科分类的主题研究领域跨学科态势分析方法研究
引用本文:叶春蕾.基于Web of Science学科分类的主题研究领域跨学科态势分析方法研究[J].图书情报工作,2018,62(2):127-134.
作者姓名:叶春蕾
作者单位:北京农学院图书馆 北京 102206
基金项目:本文系2017年度北京市教委科研计划一般项目"跨学科视角下都市农业学科主题演化研究"(项目编号:SM201710020004)研究成果之一。
摘    要:目的/意义]为了更好地揭示主题研究领域跨学科发展的学科对象和研究内容,提出一种综合的跨学科态势分析方法。方法/过程]首先,根据主题领域确定涉及到的所有学科类别,并定义学科影响力指数,构建学科影响力网络。然后,对学科影响力网络进行中心度、结构洞和可视化分析,识别核心学科类别。最后,构建关键词-学科类别共现网络,使用网络中心度分析获得由关键词表示的主题内容,并结合核心学科类别和领域专家意见获得跨学科主题内容。结果/结论]实证表明提出的分析方法能够在一定程度上揭示主题研究领域跨学科发展态势,其有效性得到一定程度的验证。

关 键 词:跨学科  态势分析  网络分析  学科分类  
收稿时间:2017-08-18

Research on the Method of Interdisciplinary Analysis in the Subject Research Field Based on the Subject Categories of WOS
Ye Chunlei.Research on the Method of Interdisciplinary Analysis in the Subject Research Field Based on the Subject Categories of WOS[J].Library and Information Service,2018,62(2):127-134.
Authors:Ye Chunlei
Institution:Library of Beijing University of Agriculture, Beijing 102206
Abstract:Purpose/significance] In order to reveal the directions and contents of the interdisciplinary development of the subject research field, this paper proposes a comprehensive interdisciplinary situation analysis method.Method/process]Firstly, the subject categories involved were determined according to the subject field and the discipline influence index was defined. Then, the subject influence network was constructed. Secondly, the subject categories influence network was analyzed by the centrality, structural holes and visual methods to identify the core subject categories. Finally, a keyword-subject category co-occurrence network wase constructed, and analyzed by the centrality method to obtain the main knowledge content. The interdisciplinary knowledge content was obtained by the combination with the core subject categories and the domain expert opinions.Result/conclusion]Experimental results show that the comprehensive analysis method can reveal the interdisciplinary development trend of the subject research to a certain extent. Its effectiveness is verified to a certain extent.
Keywords:interdisciplinary  situation analysis  network analysis  subject categories  
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