摘要
提出了一种主题知识关联指标测度与主题知识网络图谱相结合的领域主题关联特征挖掘方法。融合聚类分析、多维尺度分析和战略坐标分析,形成基于共词分析的分阶段、多层面领域主题热点及演进态势研究方法体系。以医学伦理学为例,进行实证研究,从而识别领域主题、揭示各子主题内部以及主题之间的知识连接特性、探测主题发展态势,为科研人员和决策人员提供科学的决策理论支撑和方法。
After a measure of subject knowledge association index and a mining method of subject association characteristics were proposed, a co-word analysis-based research method system of subject hotspots and their evolution situation was formed by clustering analysis, multidimensional analysis and strategic coordinate analysis. An empirical study was conducted with medical ethics as an example to identify its subjects, to reveal its knowledge linkage features, and show its development situation, thus providing theoretical support and methods for scientific worker and leaders to make scientific decisions.
出处
《中华医学图书情报杂志》
CAS
2016年第1期43-51,共9页
Chinese Journal of Medical Library and Information Science
基金
济宁市科技发展计划项目"基于共词分析的医学伦理学领域热点及演进态势研究"(2014jnyf15)
山东省自然科学基金联合专项"基于引文网络的学科知识扩散研究"(ZR2015GL015)
济宁医学院博士科研启动基金项目"学科知识创新扩散研究"(JY2015BS14)
关键词
共词分析
医学伦理学
聚类分析
多维尺度分析
主题关联特征
战略坐标
Co-word analysis
Medical ethics
Clustering analysis
Multidimensional analysis
Subject association characteristics
Strategic coordinate
