Software survey: VOSviewer, a computer program for bibliometric mapping (original) (raw)
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Journal of advancement in Library Science, 2019
In the fastest growing technological world of information and communication technology, scientific research and development, an overwhelming amount of information / data in various formats is generated directly or indirectly. As far as academic and scientific community is concerned, a large number of scholarly articles are being published on daily basis by research scholars and academician across the world. After the introduction of Computer Technology computerized data processing has become common among the researchers, this has been prompted to develop Bibliometric software. Some of them are open source software (Freeware) and others are commercial products. The study comprises to assess the potential value of data analysis of selected open source Bibliometric and Scientometric Packages (Tools).
Bibliometrix: An Open Source Software for Bibliometrics and Scientometrics
Chapter in book, 2022
Bibliometrix software assists academics in several important steps such as data import, bibliographic analysis and co-citation of a publication dataset, pairing, collaboration and creation of matrices for co-word analysis and also effective in prediction of knowledge. This package may also be used to provide input data for network analysis, multiple correspondence analysis, and other data reduction procedures.
Bibliometric Visualization and Analysis Software: State of the Art, Workflows, and Best Practices
2019
Despite the demonstrated value of visualization-based modalities for measuring and mapping science, it remains common practice to search and explore the literature via databases that present lists of articles with little, if any, supplementary visual information. Identifying the desired item in a list is a familiar information retrieval paradigm with a low cognitive load. However, given the rapid emergence of the field of visual text analytics, it is time to challenge the notion that article lists should remain the dominant method to search and organize the scientific literature. One reason that visualization methods are applied relatively rarely in information retrieval may be that it is difficult to develop useful and user-friendly science mapping systems. This article summarizes key workflows for bibliometric mapping, a technique for visually representing information from scientific publications, including citation data, bibliographic metadata, and article content. It describes m...
Visualization of the citation impact environments of scientific journals: An online mapping exercise
Journal of the American Society for Information …, 2007
of the Science Citation Index (5968 journals) and the Social Science Citation Index (1712 journals) are made accessible from the perspective of any of these journals. A vectorspace model is used for normalization, and the results are brought online at http://www.leydesdorff.net/jcr04 as input-files for the visualization program Pajek. The user is thus able to analyze the citation environment in terms of links and graphs.
Science mapping software tools: Review, analysis, and cooperative study among tools
2011
Abstract Science mapping aims to build bibliometric maps that describe how specific disciplines, scientific domains, or research fields are conceptually, intellectually, and socially structured. Different techniques and software tools have been proposed to carry out science mapping analysis. The aim of this article is to review, analyze, and compare some of these software tools, taking into account aspects such as the bibliometric techniques available and the different kinds of analysis.
Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool
Publications
This paper explores ways in which open access bibliometric software can be used to undertake exploratory research and to generate new avenues of inquiry. It takes as its focus VOSviewer, a freely available software package used to construct and display bibliometric relationships between a variety of variables. Beginning with published examples, the paper proceeds to create an original case study using bibliometrics to explore the extent to which the field of remote sensing is contributing to the implementation of sustainable development goals. This example uses Scopus data and VOSviewer to examine and contrast co-occurrence data among publications in six journals, and it demonstrates how such software can be successfully used to undertake preliminary studies and to shape subsequent research which employs more formal approaches.
Bibliometric study and mapping of a journal in the field of visualization and computer graphics
COLLNET Journal of Scientometrics and Information Management, 2018
The study represents the first retrospective bibliometric analysis and mapping of the IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), one of the leading journals in the field of visualization and computer graphics, a discipline with expanding literature and emerging new areas. Using descriptive bibliometrics, the dynamics and trend patterns of publications, received citations and the impact factor of the journal were analyzed. The most productive and influential papers, authors, countries and institutions were identified. A mapping analysis, performed with VOSviewer software, visualized bibliometric networks from the perspective of keywords, authors, countries, institutions, cited references and cited journals, using co-occurrence, bibliographic coupling and co-citation analyses. From the results, the IEEE TVCG emerged as one of the leading journals in the field of visualization and computer graphics. The mapping of research themes revealed a range of established and evolving areas, including data visualizations, computer graphics, image synthesis and representation, scientific visualizations, interactive digital environments, such as virtual and augmented realities, human perception, animations and simulations. The rising number of published articles and citations, and a high journal impact factor demonstrated the growing interest of the academic community for the journal IEEE TVCG and the aforementioned area. The results and conclusions can be a valuable reference for academics, researchers and practitioners in computer graphics and visualization, as well as for authors and readers in the area of scientometrics.
Visualizing bibliometric networks
This chapter provides an introduction into the topic of visualizing bibliometric networks. First, the most commonly studied types of bibliometric networks (i.e., citation, co-citation, bibliographic coupling, keyword co-occurrence, and co-authorship networks) are discussed, and three popular visualization approaches (i.e., distance-based, graph-based, and timeline-based approaches) are distinguished. Next, an overview is given of a number of software tools that can be used for visualizing bibliometric networks. In the second part of the chapter, the focus is specifically on two software tools: VOSviewer and CitNetExplorer. The techniques used by these tools to construct, analyze, and visualize bibliometric networks are discussed. In addition, tutorials are offered that demonstrate in a step-by-step manner how both tools can be used. Finally, the chapter concludes with a discussion of the limitations and the proper use of bibliometric network visualizations and with a summary of some ongoing and future developments.
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
Journal of the American Society for Information Science and Technology, 2010
VOS is a new mapping technique that can serve as an alternative to the wellknown technique of multidimensional scaling. We present an extensive comparison between the use of multidimensional scaling and the use of VOS for constructing bibliometric maps. In our theoretical analysis, we show the mathematical relation between the two techniques. In our experimental analysis, we use the techniques for constructing maps of authors, journals, and keywords. Two commonly used approaches to bibliometric mapping, both based on multidimensional scaling, turn out to produce maps that suffer from artifacts. Maps constructed using VOS turn out not to have this problem. We conclude that in general maps constructed using VOS provide a more satisfactory representation of a data set than maps constructed using well-known multidimensional scaling approaches.
Adding Perspective to the Bibliometric Mapping Using Bidirected Graph
Open Information Science, 2023
Bibliometric mapping offers easiness in analyzing the relationship between publications through the network visuals created. Several applications, such as VOSviewer, Bibliometrix, and CiteSpace, make conducting network analysis more convenient. Moreover, the relationship provided is usually in the form of an undirected graph, which negates the two-way relationship created. This study attempts to demonstrate the significance of considering two-way relationships by proposing a keyword network formed using bidirected graphs and association rules to examine the two-way relationship of two or more keywords. According to the proposed bidirected graph, a twoway graph can add value and insight by analyzing the correlation between a single keyword and several others. Two of the four metrics used, Confidence and Conviction, are sufficient to support directed graphs. In contrast, Support and Full Counting are related because they both see the occurrences of a keyword, so using undirected graphs is necessary.