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基于CSSCI的专利论文研究热点可视化分析
引用本文:卢章平,王君,赵旭.基于CSSCI的专利论文研究热点可视化分析[J].图书情报工作,2010,54(24):62-40.
作者姓名:卢章平  王君  赵旭
作者单位:江苏大学科技信息研究所
摘    要:为深入揭示我国专利研究论文的主要学术知识群和研究热点,采用关键词词频分析和共词分析方法,以CSSCI为数据源,对1998-2009年专利研究论文进行分析,统计出反映专利论文研究热点的高频关键词42个,并利用因子分析和多维尺度分析方法,绘制我国专利论文的研究热点知识图谱。在此基础上,进一步探讨我国专利论文的研究现状,指出研究的重复之处并预测未来的研究方向。

关 键 词:专利论文  词频分析  共词分析  知识图谱  研究热点  
收稿时间:2010-05-11
修稿时间:2010-07-28

Visualization Study on the Research Issues of Papers on Patent Analysis Based on CSSCI
Lu Zhangping,Wang Jun,Zhao Xu.Visualization Study on the Research Issues of Papers on Patent Analysis Based on CSSCI[J].Library and Information Service,2010,54(24):62-40.
Authors:Lu Zhangping  Wang Jun  Zhao Xu
Institution:Institute of Science and Technology Information of Jiangsu University,
Abstract:The purpose of this paper is to reveal the main academic area and research issues of papers on patent analysis in China. By using keywords frequency analysis and co-words analysis, this paper takes the CSSCI database as its data sources to conduct an analysis of papers on patent analysis from 1998 to 2009.It collects 42 high frequency keywords that reflect the research issues of papers on patent analysis. And by using factor analysis and multidimensional scaling analysis methods, it draws the co-word map to identify the main research issues of papers on patent analysis in China. On this basis, we further studies on the research status of papers on patent analysis in China, and finds the overlap between the study and point the future research directions.
Keywords:papers on patents analysis  word frequency analysis  co-words analysis  mapping knowledge domain  research issues  
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