旨在揭示大数据研究中国家和机构间的合作模式和网络结构，发现主要参与国家和机构的主导地位，并利用科学地图来可视化这些合作特征。在了解大数据领域全球论文产出概况的基础上，应用网络特征指标分析大数据研究合作网络的结构特征及演化规律、主要国家与机构在合作网络中的地位及其作用，并通过VOSviewer软件以科学叠加图（overlay map）的形式对结果进行可视化。研究发现：全球大数据研究以国内合作尤其是机构内合作为主，国家和机构间合作的比重较低，随着时间推移，国际合作网络规模不断扩大，并逐渐向多元主导模式转变；中国、美国和英国在国际合作网络中占据核心地位、发挥桥梁作用；中国作者在国际合作网络中的主导性较高，中国科学院、德克萨斯大学和清华大学是最为活跃的参与机构。

This paper aims to reveal the collaboration patterns and network structures among nations and institutions in scientific research related to big data, as well as to explore the dominant position of the main participating countries and institutions, and applies software tool of VOSviewer to visualize the collaboration networks and their characteristics in the form of scientific overlay maps. Following an overview of the global publications in the big data field, the structure features and evolution process of collaboration network, as well as the roles of major countries and institutions are depicted. Results show that the current global big data research mainly relies on domestic collaboration, especially intra-institutional collaboration, and the proportion of international collaboration is relatively low; the scale of international collaboration has kept expanding over time, and gradually formed a multi-oriented model; China, the United States and the United Kingdom are the leading countries; Chinese authors show high dominance in international collaboration networks, and Chinese Academy of Sciences and Tsinghua University of China, and University of Texas of USA are the most active institutions.

G256.1；G311；G301

国家自然科学基金应急管理项目“新时代科学基金国际合作战略与资助布局研究”(项目编号:71843012)