China's research contribution in big data

Big data is one of the current and future research frontiers.It has received international attention,and some countries have even upgraded big data research to a national strategy.Therefore,it is interesting to understand the status quo of big data research and identify the status and contribution of a country.Our study is divided into two parts.The first part of this study combines core lexical query and expanded lexical query to get relatively integral publications’data sets on big data.Citation relationships and a maximum connected subgraph algorithm are used to clean and filter unrelated publications.Then the Leiden algorithm is selected to cluster the citation network for big data and VOSviewer is used to map the big data knowledge structure.In the second part of this study,we analyze China’s research contribution in terms of research output and highly-cited papers.In order to better show the distribution of big data research in China,we utilized science overlay mapping to visualize the status quo of China’s research in big data.Our study shows that China is one of the most important countries in big data research and the research covers almost all areas of big data.However,the research performance is relatively low.In terms of knowledge structure with science overlay mapping,China’s research mainly focuses on cloud computing,the Internet of Things(Io T),and social media.However,research topics with a greater rate of highly-cited papers are mainly found in cloud computing,big data medicine,and Industry 4.0.These topics are also the dominant areas of China’s big data research.