The Trend, Hotspots, Frontier and Path of Big Data Visualization Research in China——Based on the Knowledge Graph Analysis of Citespace5.5.R2

In 2016, China has adopted big data visualization technology as its national development strategy, however relevant literature review research is deficient at present. In view of this, this study uses Citespace5.5.R2 to elaborately analyze 2875 documents in CNKI database from 1994 to 2020 by adopting the methods of keyword co-occurrence analysis, document co-citation analysis and high-cited document analysis, which reasonably draw a conclusion on the research trend, research hotspots distribution, research frontier and research path of big data visualization research field in China. In general, research on big data visualization in China keeps a steady growing trend; Research hotspots are divided into four major themes: journalism is the main application industry, big data visualization technology and platform research, the representation of big data visualization and big data visualization algorithm research. From the perspective of research frontier, research based on Knowledge Graph has become the latest research method and Echart has become the latest technology implementation method in this field. In view of the research path, Chinese big data visualization research has gone through three stages: 1994-2003 is in the embryonic stage, 2004-2011 is in the stage of stable development and 2012- 2020 is in the rapid development stage.