摘要
为给图书情报领域大数据的进一步研究提供参考,笔者以图书情报领域26种期刊收录的大数据主题文献为研究对象,采用Citespace、SPSS和Netdraw,结合共现分析和多元统计分析方法,对文献的作者、机构以及关键词词频进行梳理。发现国内图书情报领域大数据研究主要分布在政府数据开放、个性化服务、数据素养、数据挖掘和数据可视化5个方面,并对其进行了深入的剖析。
To provide references for the further study in Big Data,based on the articles collected in 26 journals in the field of Library and Information Science,using Citespace,SPSS and Netdraw,authors,institutions and keywords frequency of the articles were analyzed by applying co-occurrence and multivariate statistical analysis method.The results show that the research of Big Data in Library and Information Science of China mainly focuses on five aspects:government data opening,personalized service,data literacy,data mining and data visualizationm,and analyzed it in depth..
作者
刘文江
胡志丹
贾凤玲
LIU Wenjiang;HU Zhidan;JIA Fengling(School of Information,GuiZhou University of Finance and Economics,Guizhou Guiyang 550025,China;Experimental Department,GuiZhou University of Finance and Economics,Guizhou Guiyang 550025,China;National Demonstration Center for Experimental Economics and Management Education(GuiZhou University of Finance and Economics),Guizhou Guiyang 550025,China)
出处
《农业图书情报》
2019年第12期56-63,共8页
Agricultural Library and Information
基金
2017年贵州财经大学引进人才科研启动项目
2019贵州财经大学在校生项目（项目编号：2019ZXSY49）
2018年贵州省本科教学内容和课程体系改革项目（项目编号：2018520043）
关键词
大数据
共词分析
多元统计
图书情报
big data
co-word analysis
multivariate statistics
library and information science
