利用共词聚类分析我国社区教育研究热点

Community Education in China: Using Co-word Clustering to Identify Research Focuses

文章以中国知网(CNKI)1980年至2013年间(含2014年4个月)收录核心期刊上的1,559篇我国社区教育领域研究的学术论文为研究对象,以共词聚类和文献计量分析为主要研究方法,采用BIBCOMS书目信息共现挖掘系统和SPSS软件进行内容挖掘和数据处理,以可视化的知识图谱描述各个高频关键词之间的聚类关系,揭示三十余年里我国社区教育领域的研究热点和发展趋势,为新时期社区教育研究提供参考。

This research studies 1559 papers on community education published in core academic journals from 1980 to 2014 as stored at the CNKI(China National Knowledge Infrastructure) database. Research instruments of Co-word clustering, bibliometric analysis, bibliographic item co-occurrence mining system(BICOMS) and SPSS are adopted. Visual knowledge Mapping is used to describe the clustering relationship among high-frequency keywords. The paper analyses the research focuses and development trend of community education in the last three decades and provides a reference for future studies in the new era.