VOSviewer应用现状及其知识基础研究

doi:10.13998/j.cnki.issn1002-1248.21-0843

摘要/Abstract

摘要： [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。

关键词: VOSviewer, 知识图谱, 知识基础, 知识扩散, 功能演化, 科学计量

Abstract: [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.

Key words: VOSviewer, knowledge map, knowledge base, knowledge diffusion, function evolution, scientometrics

中图分类号:

TP37

李杰, 魏瑞斌. VOSviewer应用现状及其知识基础研究[J]. 农业图书情报学报, 2022, 34(6): 61-71.

LI Jie, WEI Ruibi. VOSviewer Application Status and Its Knowledge Base[J]. Journal of Library and Information Science in Agriculture, 2022, 34(6): 61-71.

参考文献

[1] 李杰. 科学知识图谱原理及应用[M]. 北京: 高等教育出版社, 2018.
LI J.Principle and application of scientific knowledge graph[M]. Beijing: Higher education press, 2018.
[2] 魏瑞斌. VOSviewer在中英文文献中使用的比较研究[J]. 科技情报研究, 2020, 2(4): 23-31.
WEI R B.A comparative study on the use of VOSviewer in Chinese and English literature[J]. Scientific information research, 2020, 22(4): 23-31.
[3] KESSLER M M.Bibliographic coupling between scientific papers[J]. American documentation, 1963, 14(1): 10-25.
[4] PRITCHARD A.Statistical bibliography or bibliometrics[J]. Journal of documentation, 1969, 25(4): 348-9.
[5] SMALL H.Co-citation in the scientific literature: A new measure of the relationship between two documents[J]. Journal of the American society for information science, 1973, 24(4): 265-9.
[6] White H D.Author cocitation: A literature measure of intellectual structure[J]. Journal of the American society for information science, 1981, 32(3): 163-71.
[7] CALLON M, COURTIAL J-P, TURNER W A, et al.From translations to problematic networks: An introduction to co-word analysis[J]. Information (international social science council), 1983, 22(2): 191-235.
[8] HIRSCH J E.An index to quantify an individual's scientific research output[J]. Proceedings of the national academy of sciences, 2005, 102(46): 16569-16572.
[9] MINGERS J, LEYDESDORFF L.A review of theory and practice in scientometrics[J]. European journal of operational research, 2015, 246(1): 1-19.
[10] HOOD W W, WILSON C S.The literature of bibliometrics, scientometrics, and informetrics[J]. Scientometrics, 2001, 52(2): 291.
[11] BORNER K, CHEN C, BOYACK K W.Visualizing knowledge domains[J]. Annual review of information science and technology, 2003: 179-255.
[12] VAN ECK N J, WALTMAN L. VOS: A new method for visualizing similarities between objects[M]//DECKER R, LENZ H J. Berlin, Springer-Verlag Berlin: Advances in data analysis, 2007: 299-306.
[13] ECK N J V, WALTMAN L. How to normalize cooccurrence data? An analysis of some well-known similarity measures[J]. Journal of
the American society for information science and technology, 2009, 60(8): 1635-1651.
[14] VAN ECK N J, WALTMAN L, DEKKER R, et al. A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS[J]. Journal of the American society for information science and technology, 2010, 61(12): 2405-2416.
[15] WALTMAN L, VAN ECK N J, NOYONS E C M. A unified approach to mapping and clustering of bibliometric networks[J]. Journal of informetrics, 2010, 4(4): 629-635.
[16] VAN ECK N J, WALTMAN L, NOYONS E C M, et al. Automatic term identification for bibliometric mapping[J]. Scientometrics, 2010,82(3): 581-596.
[17] PERIANES-RODRIGUEZ A, WALTMAN L, VAN ECK N J. Constructing bibliometric networks: A comparison between full and fractional counting[J]. Journal of informetrics, 2016, 10(4): 1178-1195.
[18] VAN ECK N J, WALTMAN L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2): 523-538.
[19] VAN ECK N J, WALTMAN L. Citation-based clustering of publications using CitNetExplorer and VOSviewer[J]. Scientometrics, 2017,111(2): 1053-1070.
[20] CHEN C.Searching for intellectual turning points: Progressive knowl-edge domain visualization[J]. Proceedings of the national academy of sciences of the United States of America, 2004, 101(1): 5303-5310.
[21] CHEN C.CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American society for information science and technology, 2006, 57(3): 359-377.
[22] CHEN C, IBEKWE-SANJUAN F, HOU J.The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis[J]. Journal of the American society for information science and technology, 2010, 61(7): 1386-1409.
[23] CHEN C, DUBIN R, KIM M C.Emerging trends and new developments in regenerative medicine: A scientometric update (2000-2014)[J].Expert opinion on biological therapy, 2014, 14(9): 1295-1317.
[24] COBO M J, LOPEZ-HERRERA A G, HERRERA-VIEDMA E, et al. SciMAT: A new science mapping analysis software tool[J]. Journal of the American society for information science and technology, 2012, 63(8): 1609-1630.
[25] COBO M J, LOPEZ-HERRERA A G, HERRERA-VIEDMA E, et al. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field[J]. Journal of informetrics, 2011, 5(1): 146-166.
[26] COBO M J, MARTíNEZ M A, GUTIéRREZ-SALCEDO M, et al. 25years at knowledge-based systems: A bibliometric analysis[J]. Knowledge-based systems, 2015, 80: 3-13.
[27] ARIA M, CUCCURULLO C.Bibliometrix: An r-tool for comprehen-sive science mapping analysis[J]. Journal of informetrics, 2017, 11(4): 959-975.
[28] FALAGAS M E, PITSOUNI E I, MALIETZIS G A, et al.Comparison of PubMed, Scopus, web of science, and google scholar: Strengths and weaknesses[J]. The FASEB journal, 2008, 22(2): 338-342.
[29] FALAGAS M E, PITSOUNI E I, MALIETZIS G A, et al.Comparison of PubMed, Scopus, web of science, and google scholar: Strengths and weaknesses[J]. Faseb J, 2008, 22(2): 338-342.
[30] MONGEON P, PAUL-HUS A.The journal coverage of web of science and Scopus: A comparative analysis[J]. Scientometrics, 2016, 106(1): 213-228.
[31] MERIGO J M, MAS-TUR A, ROIG-TIERNO N, et al.A bibliometric overview of the journal of business research between 1973 and 2014[J]. J bus res, 2015, 68(12): 2645-2653.
[32] MERIGO J M, PEDRYCZ W, WEBER R, et al.Fifty years of information sciences: A bibliometric overview[J]. Inf sci, 2018, 432: 245-268.
[33] LAENGLE S, MERIGO J M, MIRANDA J, et al.Forty years of the European journal of operational research: A bibliometric overview[J]. European journal of operational research, 2017, 262(3): 803-16.
[34] MARTINEZ-LOPEZ F J, MERIGO J M, VALENZUELA-FERNAN-DEZ L, et al. Fifty years of the European journal of marketing: A biblio-metric analysis[J]. European journal of marketing, 2018, 52(1/2): 439-468.
[35] CANCINO C, MERIGO J M, CORONADO F, et al.Forty years of computers & industrial engineering: A bibliometric analysis[J]. Computers & industrial engineering, 2017, 113: 614-629.
[36] VALENZUELA L M, MERIGO J M, JOHNSTON W J, et al.Thirty years of the journal of business & industrial marketing: A bibliometric analysis[J]. Journal of business & industrial marketing, 2017, 32(1): 1-17.
[37] MERIGO J M, GIL-LAFUENTE A M, YAGER R R. An overview of fuzzy research with bibliometric indicators[J]. Applied soft com-puting, 2015, 27: 420-433.
[38] MERIGO J M, CANCINO C A, CORONADO F, et al.Academic research in innovation: A country analysis[J]. Scientometrics, 2016, 108(2): 559-593.
[39] MERIGO J M, YANG J-B.A bibliometric analysis of operations research and management science[J]. Omega, 2017, 73: 37-48.
[40] BLANCO-MESA F, MERIGO J M, GIL-LAFUENTE A M. Fuzzy decision making: A bibliometric-based review[J]. Journal of intel-ligent & fuzzy systems, 2017, 32: 2033-2050.