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

摘要:

本文基于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,从时间序列文献分布特点、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。本文对促进我国大数据可视化理论和技术的纵深研究、深层次的应用研究以及向着国际化发展具有一定的指导意义。

Abstract:

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 evolution of Keywordsand others aspects of the field domestic and abroad. The results shows that the research on the theory and technology of big data visualization are matured than those in domestic which have the trends of research of biological information visualization, personal health medical visualization, and intelligent visualization. The research in China focus on big data visualization of education and high-level result is less than foreign. This paper gets the significance for promoting the theoretical research of the big data visualization in China.