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VOSviewer: Latest improvements and future plans



Today VOSviewer version 1.6.5 has been released. This new version of our software tool for constructing and visualizing bibliometric networks includes many improvements. In this blog post, we discuss some of the more important improvements. We also look ahead and discuss some anticipated future developments related to VOSviewer.

Improvements in VOSviewer version 1.6.5

Perhaps the most important improvement is the enhanced support for so-called overlay visualizations. These visualizations, in which colors are used to show for instance time trends or citation impact differences, have been made more prominently visible in the software. In earlier versions of VOSviewer, overlay visualizations were somewhat difficult to access. In the new version, overlay visualizations are presented on a separate Overlay Visualization tab (in between the well-known Network Visualization and Density Visualization tabs), making these visualizations much more easily accessible. In addition, when creating bibliometric networks (e.g., co-authorship or citation networks) based on, for instance, Web of Science or Scopus data, the new version of VOSviewer automatically provides a number of overlay visualizations. As an example, the screenshot below shows an overlay visualization of a co-authorship network constructed based on publications in Journal of Informetrics. (An interactive version of the visualization is available here.) In this visualization, the color of an author indicates the average year in which the publications of the author appeared. Mike Thelwall is for instance shown in yellow, while Leo Egghe is shown in blue, indicating that on average Egghe’s publications in Journal of Informetrics are older than Thelwall’s.

Other improvements made in version 1.6.5 of VOSviewer include the use of the status bar to provide information on an item when hovering over the item in the visualization. The status bar presents various statistics on an item, such as the number of links with other items and the total strength of these links. Previously, the so-called information panel was used to provide information on items. Although this panel can still be used, it has been largely replaced by the status bar. In this way, more space has become available in the VOSviewer user interface for presenting the visualization of a bibliometric network.

The new version of VOSviewer also offers many new command line parameters. As requested by a number of VOSviewer users, command line parameters can now be used to create and save VOSviewer maps in a fully automated way. This is convenient especially when large numbers of maps need to be created.

Many other smaller improvements have been made, for instance relating to the construction of bibliometric maps based on Web of Science and Scopus data, the support of the GML file format (which allows VOSviewer to exchange data with other network analysis tools, such as Gephi), and the visual quality of the density visualization. When downloading VOSviewer, a full list of all improvements that have been made is provided in the history file.

Expanding user community

The use of VOSviewer keeps increasing. There are two main groups of VOSviewer users: (1) researchers who are interested in creating bibliometric visualizations of specific scientific fields or specific research topics and (2) people working at research institutions, research funders, and scientific publishers who use VOSviewer to support strategic decision making. Based on the feedback we receive from the VOSviewer user community, our impression is that both groups of users keep growing. In the case of the first group of users, a clear impression of this growth can be obtained by looking at the yearly number of publications in which VOSviewer is used. As can be seen in the graph presented below, the number of VOSviewer publications has grown exponentially since the first release of VOSviewer. In 2016, almost 100 VOSviewer publications have appeared so far.

VOSviewer publications

An example of other interesting VOSviewer-related developments is the Automatic Identification of Research Trends (AIDA) project at Delft University of Technology. In this project, researchers are trained in the use of VOSviewer to support literature reviewing, proposal writing, and other related tasks. This is quite similar to the two-day VOSviewer course that we offer at CWTS once every year. The fifth edition of this course will take place on April 6 and 7, 2017. More information on the course is available here.

What’s next?

As developers of VOSviewer, we receive a lot of feedback on our software. In the development of the software, we try to take into account the most interesting and most important suggestions made by the VOSviewer user community. In the next version of the software, we expect to make further improvements to the interactive visualizations presented by the software. By adding more visual effects, we hope to further increase the value of the visualizations. We are also planning to make VOSviewer available as open source.

In the meantime, we are thinking about a longer term strategy for the development of VOSviewer. We are currently preparing the first plans for VOSviewer version 2.0. Our idea is that VOSviewer version 2.0 will offer support for very large networks (e.g., citation networks of millions of publications) and will be able to handle hierarchically organized networks using interactive ‘drill down’ functionality (similar to the 'drill down' feature available in our CitNetExplorer tool). Although VOSviewer’s special focus on bibliometric networks will remain, we expect VOSviewer to gradually evolve toward a more general purpose network analysis and visualization tool.

We very much appreciate your feedback on VOSviewer. If you have questions, comments, or suggestions, then please do not hesitate to contact us!


About Nees Jan van Eck

Researcher and Head of ICT. Nees Jan's research focuses on the development of visualization tools and algorithms, mainly for analyzing the structure and development of science.

About Ludo Waltman

Researcher and deputy director of CWTS, and coordinator of the Advanced Bibliometric Methods (ABM) working group. Ludo's research interests focus on bibliometric methods, in particular the analysis and visualization of bibliometric networks and the development of bibliometric indicators.


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