摘要
以2020年以前CNKI数据库收录的“中学化学教学”为主题的硕博论文作为研究对象,运用数据挖掘技术,借助ROST6、python语言和Ucinet社交网络分析软件以知识图谱的方式对该主题研究的时间演化及发展现状、培养单位、基金资助、关键词共现、论文题目共现以及师生关系分布等进行了探索分析,为相关研究领域提供了参考。
Taking the master and doctoral thesis on the theme of"Secondary Chemistry Teaching"included in the CNKI database before 2020 as the research object,using data mining technology,with the help of ROST6,python language and Ucinet social network analysis software,the time of research on this topic in the form of knowledge graph,the evolution and development status,training units,fund support,keyword co-occurrence,thesis topic co-occurrence and teacher-student relationship distribution were explored and analyzed to provide references for related research fields.
作者
沈秀童
艾阳
Shen Xiutong;Ai Yang(Southwest University,Chongqing 400715,China;Qingdao University of Science and Technology,Qingdao 266100,China)
出处
《山东化工》
CAS
2020年第11期184-187,共4页
Shandong Chemical Industry
关键词
中学化学
数据挖掘
共现矩阵
知识图谱
CNKI
middle school chemistry
data mining
co-occurrence matrix
knowledge graph
CNKI
