基于关键词的电力系统“大数据”与“云计算”专题文献分析  

Thematic Analysis of "Big Data" and "Cloud Computing" in Power System Based on Key Words

作　　者：赵晓明[1] 张学强[1] 曹岚[1] 

机构地区：[1]国网浙江省电力公司电力科学研究院,杭州310014

出　　处：《浙江电力》2016年第2期27-30,共4页Zhejiang Electric Power

摘　　要：简要介绍了世界主要发达国家在"大数据"和"云计算"领域的研究进展。通过构建检索策略,从CNKI全文数据库中检索出电力系统"大数据"与"云计算"相关文献3 000余篇,采用基于词频分析的方法,使用文献题录信息统计分析工具SATI从中抽取了百余个高频关键词,生成了词频共现矩阵,并通过Ucinet软件绘制了高频词可视化图谱。利用高频词表、词频共现矩阵和可视化图谱可以分析和比较有关"大数据"与"云计算"的研究热点和技术发展趋势。The paper briefly introduces big data and cloud computing research in major developed countries in the w.rld. A retrieval strategy is established and more than 3,000 papers concerning big data and cloud computing in power system are retrieved from CNKI database. The method based on analysis of word frequen- cy is adopted to extract more than 100 high frequency words from the papers using SATI （statistical analysis toolkit for informetrics） to generate co-occurrence matrix of word frequency and draw visualization map of high freq uency words using Ucinet. By table of high frequency words, co-occurrence matrix of word frequency and visalization map, research hotspot and technical development trend in respect of ＂big data＂ and ＂cloud computing＂ can be analyzed and eomoared.

关 键 词：大数据 云计算 词频分析 CNKI SATI UCINET 词频共现矩阵 可视化图谱 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]