笔者以2002-2012年间CNKI中国学术期刊网络出版总库中收录的大数据方面的论文为研究样本,借助多元统计分析工具Spss17.0中的聚类分析、多维尺度分析和Ucinet6可视化工具,从发文增长规律、作者分布、研究机构分布、期刊分布、以及高频关键词等多角度进行文献计量分析及可视化分析,揭示了我国在大数据领域的研究现状,并总结出研究特点,以期对大数据研究的深入开展和未来大数据的发展提供参考信息。 The author takes the big data collected in the CNKI Chinese Academic Periodical Publishing Network as a research sample from 2002 to 2012. With the help of cluster analysis, multidimensional scaling analysis and Ucinet6 visualization tools in multivariate statistical analysis tool Spss17.0, The law of growth, the distribution of authors, the distribution of research institutes, the distribution of periodicals, and the high-frequency keywords and so on, reveals the current research situation in the field of big data in our country and summarizes the characteristics of the research in order to analyze the big data Research in-depth development and future development of big data provide reference information.