基于CiteSpace知识图谱的数学分析课程研究可视化分析
Mathematical Analysis Course Research Visual Analysis Based on CiteSpace Knowledge Graph

本研究运用知识图谱技术，并结合可视化计量分析工具CiteSpace，对中国知网(CNKI)数据库中有关数学分析课程研究的相关文献进行了分析。通过对研究合作关系、研究机构合作关系以及研究关键词的共现、聚类和突现进行可视化分析，得出结论：一是对发文机构的分析表明，科研机构之间缺乏合作，存在“各自为政”的情况，呈现出部分集中、整体分散的态势；二是关键词聚类分析表明，现阶段的相关研究主要围绕：数学分析、教学、极限、教学方法、教学改革、分析能力、习题课；三是关键词突现分析表明，2010~2016年我国关于教学方法的思考是研究的热点，突现的关键词包括“教学方法”、“课程教学”、“研究”、“精品课程”、“数学建模”和“翻转课堂”。
In this study, we use knowledge graph technology and combined with CiteSpace, a visual econometric analysis tool, to analyze the relevant literature on mathematical analysis course research in the CNKI database. Through the visual analysis of the research partnership, the research institution partnership, and the co-occurrence, clustering and emergence of research keywords, it is concluded that: first, the analysis of the publishing institutions shows that there is a lack of cooperation between scientific research institutions, and there is a situation of “working in isolation”, showing a trend of partial concentration and overall dispersion. Second, the keyword cluster analysis showed that the relevant research at this stage mainly focused on: mathematical analysis, teaching, limits, teaching methods, teaching reform, analytical ability, and exercises. Thirdly, the analysis of keywords shows that from 2010 to 2016, the thinking on teaching methods in China is a hot topic of research, and the prominent keywords include “teaching methods”, “curriculum teaching”, “research”, “excellent courses”, “mathematical modeling” and “flipped classroom”.