中国科学学40年研究主题变迁--基于特征最大化F指标的文本内容分析

An Overview on 40 Years Science of Science Research Topic Evolution in China:A Novel Approach Based on Clustering and Feature Maximization

基于F指标的特征最大化的GNG聚类方法,对科学学研究文献文本进行内容分析,绘制了中国科学学近40年的研究主题结构图谱,并附以论文发表时间和作者辅助信息的外生标签梳理出中国科学学研究主题的变迁。这种结合了F指标特征最大化无监督学习方法的分析结果显示科学学研究在近40年逐渐走向成熟,从学科一般属性探讨转向相关学科与知识结构分析,从定性分析转向偏重于定量分析和可视化分析,从科学的一般社会功能研究转向更为具体的经济功能和战略功能研究。

Based on the unsupervised combination of GNG clustering with feature maximization, this paper analyses the contents of the academic journal papers in Science of Science in China, and constructs the map of the research topic structure in the last 40 years. Furthermore, it highlights the topic evolution by the exploitation of the publication time and makes use of the author’s information for the sake of clarifying topics content. The obtained results interestingly show that the Chinese Science of Science has gradually become mature in the last 40 years, turning from the general nature of the discipline to the relative disciplines and knowledge structure analysis, from the qualitative analysis to the quantitative and visual analysis, and from the general social function research of science to more specific economic function and strategic function studies.