王重民研究知识图谱——基于Cite Space的文本挖掘与量化研究

Knowledge Mapping of Wang Zhongmin's Research:A CiteSpace-based Text Mining and Quantization Study

以万方、维普、知网三大中文数据库中收录的论文数据为主要数据源,并将与王重民先生相关的图书、科研项目以及港台论文数据等作为补充数据源,在广泛收集与王重民相关研究文献的基础上,运用文献计量学方法,利用CiteSpace软件绘制关键词、作者、研究机构、期刊等多种王重民先生研究知识图谱,基于文本挖掘结果可量化分析国内王重民先生研究成果。研究结果显示:王重民先生在目录学、图书馆学、敦煌学等多个相关领域都有重要建树,为众多后辈学者所怀念。

This paper takes the thesis data included in the three major Chinese databases,Wanfang,Weipu and CNKI,as the main data source,and the books,scientific research projects and RTHK thesis data related to Mr. Wang Zhongmin as the supplementary data source,and on the basis of the extensive collection of the research literature related to Mr. Wang Zhongmin,we apply the bibliometric methodology,and utilize the CiteSpace software to map the knowledge map of Mr. Wang Zhongmin's research with keywords,authors,research institutes,journals and so on. The results of the study show that Mr. Wang Zhongmin has made important contributions in a number of related disciplines,such as catalogue,librarianship and Dunhuangology,and has been admired by many scholars of later generations.