作者：鲁伟伟；卢勃

第一作者单位：华南师范大学教育科学学院

摘要：共词聚类法是一种内容分析法,它是以一组词在同一篇文献中出现的频率为基础对这些词进行聚类分析。随着研究生招生规模的不断扩大,高等教育财政体制的改革,尤其是2014年研究生教育全面收费的政策出台以来,研究生资助政策日益成为学界关注的焦点。借助CNKI数据库搜索文献,了解研究生资助政策的基本情况,构建关键词的相关矩阵以及聚类分析树状图,并绘制网络知识图谱,进而展现研究生资助政策研究的热点,最后梳理热点形成的原因以及未来的研究趋向。

Abstract：Co-word clustering is a method of content analysis, which is based on the frequency of occurrence of a group of words in the same document. With the continuous expansion of the scale of postgraduate enrollment, the reform of higher education finance system, and especially the new policy of comprehensive charge system for postgraduate education in 2014, the postgraduate subsidy policy has become a hot topic in the academic field. Based on the CNKI database, this paper studies the basic situation of the research on the subsidy policy of postgraduate students by means of analysis software. The key correlation matrix and cluster analysis tree are constructed, and the network knowledge map is drawn to show the hotspot of postgraduate subsidy policy research. Finally, the causes and future research trends have been analyzed.

基金：教育部人文社会科学研究规划项目(15YJA880043)；广东省学校德育创新重点资助项目(2015DYZZ024)；

关键词：研究生;资助政策;热点分析;共词聚类法;

DOI：10.16698/j.hpu(social.sciences).1673-9779.2018.01.020

分类号：G643