国内外大数据可视化学术论文比较研究——基于文献计量与SNA方法

Comparative Study of Chinese and Foreign Academic Papers of Big Data Visualization Based on Bibliometrics and SNA Methods

基于web of science和中国知网的大数据可视化期刊文献数据,运用文献计量、共词分析和社会网络方法,从学科分布、期刊分布、高频关键词共现、关键词主题演进等方面对大数据可视化领域的总体情况进行量化比较研究。结果表明,国际大数据可视化理论和技术研究较国内成熟,趋向于生物生命信息可视化、个人健康医疗可视化以及智能可视化的研究。国内理论和技术研究滞后而应用围绕着教育大数据可视化等方面的研究,高水平研究成果相对较少。

In this paper, we take the articles of big data visualization which are from Web of Science and CNKI as data sources, and use the method of literature metrology, Co - word analysis, SNA to do quantitative comparative analysis from characteristics of time series, periodical distribution, literature distribution, co - word of high frequency keywords, the evolu- tion of keywords and others aspects of the field at home and abroad. The results show that the foreign research on the theory and technology of big data visualization is mature than those in China which have the trends of research of biological information visualization, personal health medical visualization, and intelligent visualization. The research in China focuses on big data visualization of education and high - level result is less than that of foreign research. This paper gets the significance for promoting the theoretical research of the big data visualization in China.