摘要
以Web of Science 1945-2019年科学史与科学哲学领域文献作为基础数据集,基于h核内参考文献共被引网络聚类,鉴别领域主要研究主题共5个;用高被引、高中介中心性以及历史根源三维度根基文献识别法,筛选出科学史与科学哲学领域中最重要的10篇根基文献,作为领域的核心知识基础。研究表明,科学史与科学哲学领域学者倾向于引用早期经典著作,符合人文社科的引用特征。
Based on dataset in the Web of Science from 1945 to 2019,we identify five main research topics in the history and philosophy of science(HPS)by clustering the h-core references co-citation network.Using three dimensions root reference recognition method via high citations, high betweenness centrality and historical roots, the most important 10 root references in the HPS are identified as the core knowledge base of this field.The finding indicates that scholars in this field tend to cite early classic books, which fits the citation features in humanities.
出处
《情报理论与实践》
CSSCI
北大核心
2022年第1期71-76,共6页
Information Studies:Theory & Application
关键词
研究主题
根基文献
核心知识
h核
量化分析
科学史与科学哲学
research topic
root reference
core knowledge
h-core
quantitative analysis
history and philosophy of science
