Hot spot analysis of big data visualization research in China based on co-word network

Menglin Liang, Yu Liang
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Abstract

Big data visualization is a rapidly developing field, and various new technologies and methods continue to emerge, making big data visualization widely used in various fields. With the advancement of technology and the expansion of application scenarios, big data visualization will continue to play an important role in the future. This paper adopts the co-word network analysis method to conduct bibliometric analysis of the relevant research of big data visualization in China from 2012 to 2022, identifies the hot spots and connection points in the field of big data visualization in China by drawing a knowledge network map, shows the research structure of big data visualization through visual analysis, and predicts the future research development trend on this basis. The results show that seven knowledge points, such as "data analysis", " visualization analysis" and "big data technology", are the current research hotspots in the field of big data visualization, which determine the development direction of future research.
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基于共词网络的中国大数据可视化研究热点分析
大数据可视化是一个快速发展的领域,各种新技术、新方法不断涌现,使得大数据可视化在各个领域得到广泛应用。随着技术的进步和应用场景的拓展,大数据可视化在未来将继续发挥重要作用。本文采用共词网络分析方法,对2012-2022年我国大数据可视化相关研究进行文献计量分析,通过绘制知识网络图找出我国大数据可视化领域的热点和连接点,通过可视化分析展示大数据可视化的研究结构,并在此基础上预测未来的研究发展趋势。结果表明,"数据分析"、"可视化分析"、"大数据技术 "等七个知识点是当前大数据可视化领域的研究热点,决定了未来研究的发展方向。
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