VOSviewer应用现状及其知识基础研究

[目的/意义]通过对VOSviewer论文的定量分析及其知识基础结构的分析,为用户使用该工具进行科学研究提供参考。[方法/过程]从Web of Science收集相关文献,在对文献计量分析的基础上,利用文献共被引网络获取部分文献,分析了该领域研究的重要文献。[结果/结论]研究发现,该领域论文数量经过较为缓慢增长的阶段后已经进入了一个应用的爆发期;从学科和期刊看,它已经被很多国家和很多学科的学者大量使用;从研究主题看,涉及新型冠状病毒肺炎疫情、可持续性、社交媒体、可持续发展以及供应链等;文献计量理论与方法、软件原理、数据库和网络分析等领域的成果形成了该领域较为坚实的研究基础。

VOSviewer Application Status and Its Knowledge Base

[Purpose/Significance] VOSviewer is a software tool for constructing and visualizing bibliometric networks which may include citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactive visualizations on online platforms. The software's powerful functions in processing literature information, coupled with free and continuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a reference for users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledge base structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the document co-citation network to obtain some documents and analyze the important documents in this field based on bibliometric analysis. [Results/Conclusions] It was found that the number of papers in this field has entered an explosive period of application after a relatively slow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel corona virus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, software principles, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal of misuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a direct interpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a large number of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. However, there are few applied research results in this area.VOSviewer Online has been integrated in Digital Science's Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks.