标题:
基于文献计量的大数据研究现状分析Big Data Research Analysis Based on Bibliometrics
作者:
况俞竹, 洪玫, 曾嘉彦
关键字:
大数据, 文献计量, 可视化分析, 文献综述, 数据分析Big Data, Bibliometrics, Visualization, Systematic Literature Review, Data Analysis
期刊名称:
《Hans Journal of Data Mining》, Vol.6 No.3, 2016-08-30
摘要:
随着互联网技术的发展，大数据时代已经来临，对大数据的研究受到世界范围的关注。本文针对国内外学术界计算领域对大数据的研究，分析该领域的研究现状与发展趋势。本文采用文献计量方法和可视化文献分析软件，通过自动和手动相结合的文献检索方式，筛选了2000~2015年国内外大数据领域的研究文献，对论文增长与分布、期刊和会议分布、作者合作等进行分析，特别分析了大数据研究的热点和趋势，为研究者的进一步研究工作提供了有价值的依据和参考。
With the development of Internet, the time of big data has come, and much attention has been paid on the research of big data all over the world. This paper analyzes the current research state and development trend of big data on the base of domestic and overseas academic research in this area. We select the 2000-2015 domestic and foreign research literature in the field of big data by the combination of automatic and manual way of literature retrieval, then analyze the paper growth and distribution and the distribution of journal, conference and cooperation of authors, etc., using the method of bibliometrics and visualization software of literature analysis, especially the hot spots and trend analysis of big data research, and provide a valuable basis and reference for the further study work of researchers.