基于ACA的中国科学史研究群体分类的知识图谱分析

ACA-based Analysis on Mapping Knowledge Domain on Classification of Researchers in History of Chinese Science

以中国学术期刊全文数据库(CJFD)为数据来源,以《自然科学史研究》杂志1995-2010年的高被引作者为研究对象,通过构造他们之间的共被引矩阵,并利用多元统计分析与社会网络分析软件对标准化后的共引矩阵进行分析,描绘出了中国科学史界研究群体的分类图谱。

The paper takes China Academic Journals Full-text Database （CJFD） as data source and highly-cited authors of Re- search on History of Nature Science in 1995-2009 as research object, constructs the co-citation matrix of the authors, uses multivariate statistical analysis and social network analysis software to analyze the normalized co-citation matrix, so as to depict the classification knowledge mapping of the researchers in history of Chinese science.