首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于共词分析的我国情报学博硕士学位论文研究热点分析
引用本文:付鑫金,方曙,庞弘燊.基于共词分析的我国情报学博硕士学位论文研究热点分析[J].情报科学,2011(11).
作者姓名:付鑫金  方曙  庞弘燊
作者单位:中国科学院国家科学图书馆成都分馆;中国科学院研究生院;
摘    要:通过选取我国情报学博硕士学位论文的高频关键词进行两两统计其在同一篇文献中出现的次数,来构造共词矩阵,进而转化为相关矩阵、相异矩阵。对不同的矩阵进行多维尺度分析、聚类分析、因子分析。综合分析结果发现当前的研究热点主要有三方面:信息检索技术的理论与实践,图书馆的建设与服务,电子商务、电子政务的信息化。

关 键 词:共词分析  情报学  博硕士学位论文  

Research on Hotspots of Information Science Dissertations of Ph.D. and Master Degree in China Based-on Co-word Analysis
FU Xin-jin,FANG Shu,PANG Hong-shen.Research on Hotspots of Information Science Dissertations of Ph.D. and Master Degree in China Based-on Co-word Analysis[J].Information Science,2011(11).
Authors:FU Xin-jin    FANG Shu  PANG Hong-shen
Institution:FU Xin-jin1,2,FANG Shu1,PANG Hong-shen1,2(1.Chengdu Branch of the National Science Library,Chinese Academy of Sciences,Chengdu 610041,China,2.Graduate University of Chinese Academy of Sciences,Beijing 100190,China)
Abstract:High frequency in Information Science dissertations of Ph.D.and master degree in China are chosen to form the co-word matrix.Then transform the co-word matrix into correlation matrix and dissimilarity matrix.Three different methods analyze the appropriate matrix to find out there are three main streams which reflect current research hotspots.They are information retrieval theory and practice,library construction and service,information-based e-commerce and e-government.
Keywords:co-word analysis  information science  dissertations of Ph  D/master degree  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号