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我国情报学研究进展——基于期刊论文关键词的统计分析
引用本文:李长玲,支岭,纪雪梅,王效岳.我国情报学研究进展——基于期刊论文关键词的统计分析[J].图书情报工作,2010,54(24):31-36.
作者姓名:李长玲  支岭  纪雪梅  王效岳
作者单位:山东理工大学科技信息研究所
基金项目:山东理工大学人文社会科学发展基金项目,山东省高等学校人文社会科学研究项目
摘    要:首先,对2001-2005年和2006-2009年两个阶段情报学主要核心期刊发表的论文的关键词进行统计,得到高频关键词以分析情报学研究热点。其次,绘制两个阶段的高频关键词的共词网络图,并对高频关键词进行聚类,分析两个阶段情报学主要的研究主题。最后,比较分析两个阶段主要的研究热点和主题,发现情报学的发展紧跟时代的步伐,并且其理论和方法不断完善与深入。

关 键 词:情报学  共词分析  聚类分析  研究热点  研究主题  共词网络  
收稿时间:2010-07-15
修稿时间:2010-09-21

Trend Analysis of Information Science Based on Keyword Statistics
Li Changling,Zhi Ling,Ji Xuemei,Wang Xiaoyue.Trend Analysis of Information Science Based on Keyword Statistics[J].Library and Information Service,2010,54(24):31-36.
Authors:Li Changling  Zhi Ling  Ji Xuemei  Wang Xiaoyue
Institution:Science and Technology Information Research Institute of Shandong University of Technology,
Abstract:Firstly, the paper collects keywords of published papers in the core journals of the information service field, including two stages from 2001 to 2005 and from 2006 to 2009, and it makes an analysis to the hot research spots of information science through a statistics to the high frequency keywords. Then the paper analyzes the main research topics of information science at the two stages by co-word network plot and cluster analysis to the high frequency keywords. Finally it has a comparative analysis to the main research hot spots and topics during the two stages, and finds that the development of informatics keeps close pace with the times and its theories and methods ceaselessly develop and perfect with each passing day.
Keywords:Information Science  co-word analysis  cluster analysis  research focus  research topics  co-word network  
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