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。
Purpose/Significance]VOSviewer is a software tool for constructing and visualizing bibliometric networks which may includecitation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactivevisualizations on online platforms. The software's powerful functions in processing literature information, coupled with free andcontinuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a referencefor users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledgebase structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the documentco-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 relativelyslow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel coronavirus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, softwareprinciples, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal ofmisuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a directinterpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a largenumber of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality thatcan 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.
李杰、魏瑞斌
科学、科学研究信息科学、信息技术自然科学研究方法
VOSviewer知识图谱知识基础知识扩散功能演化科学计量
李杰,魏瑞斌.VOSviewer 应用现状及其知识基础研究[EB/OL].(2023-03-31)[2025-08-18].https://chinaxiv.org/abs/202303.10418.点此复制
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