中文摘要：

为探究国际大数据研究领域的热点问题及其演化路径,本文选取2004-2013年Web of Science科研文献平台SCI/SSCI数据库中收录的1148篇大数据（Big Data）相关主题的文献为样本展开分析。在利用SATI软件构建共词矩阵的基础上采用Ucinet的社会化网络分析功能得到研究热点分布的知识图谱,并借助SPSS的多维尺度分析进行了效果验证,之后根据分析结果将大数据研究的8个主题域归纳为5个研究热点主题群,最后利用Cite Space提取高被引率文献分析其演化路径,揭示出了国际大数据的发展趋势。

英文摘要：

To explore the research hotspots and their evolution pathes in international big data research field, this paper an-alyzes 1148 related literatures related to big data topic from WOS literature platform with time span of 2004-2013.Co-word matrixs are constructed based on the usage of SATI. Knowledge mappings are obtained by using social networkanalysis function in Ucinet. Then another knowledge mapping is obtained by using multi-dimensional scaling in SPSS to dothe comparison analysis. After that, we classify 8 sub-topic research fields into 5 research hotspot groups. At the end of thispaper, Cite Space is used to extract the top cited literatures to analyze their category evolution path to reveal the develop-ment trend in big data research field.