基于共词聚类分析的科技查新研究述评

Review on Studies of Sci-tech Novelty Retrieval Basing on Co-word Clustering Analysis

[目的/意义]分析国内科技查新的研究热点和发展方向,以促进我国科技查新研究进一步发展。[方法/过程]以中国知网学术期刊网络出版总库为数据源,利用共词分析、文献计量分析法,结合Ucinet、Netdraw及SPSS软件,研究高频关键词间的内在联系;通过热点学科及高产作者分析,探讨我国科技查新研究发展方向。[结果/结论]我国科技查新工作研究热点集中于图书馆,热点学科为图书情报与数字图书馆。同时图书情报学与数字图书馆研究应进一步探索新的研究方向。

[Purpose/significance]The paper is to analyze hotspots and development direction of sci-tech novelty retrieval research in China, to promote its further development.[Method/process]The paper takes CNKI as data source, uses co-word analysis and biliometric analysis, as well as softwares of Ucinet, Netdraw and SPSS, to study internal connection between hi-frequency keywords; and does analysis on hot subjects and prolific authors to discuss development direction of sci-tech novelty retrieval research. [Result/conclusion]Sci-tech novelty retrieval research hotspots in China focus on Library, and hot subjects are Library and Information, and Digital Library. In addition, research on Library and Information and Digital Library should explore new work direction.