Title |
Citation-based clustering of publications using CitNetExplorer and VOSviewer
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Published in |
Scientometrics, February 2017
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DOI | 10.1007/s11192-017-2300-7 |
Pubmed ID | |
Authors |
Nees Jan van Eck, Ludo Waltman |
Abstract |
Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level. The demonstration provided in this paper shows how a clustering of publications can be created and analyzed using freely available software tools. Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 7% |
United States | 1 | 7% |
Brazil | 1 | 7% |
Russia | 1 | 7% |
France | 1 | 7% |
Ecuador | 1 | 7% |
Germany | 1 | 7% |
Colombia | 1 | 7% |
Netherlands | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 60% |
Scientists | 5 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 2 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Unknown | 1665 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 237 | 14% |
Student > Master | 132 | 8% |
Researcher | 117 | 7% |
Student > Doctoral Student | 108 | 6% |
Lecturer | 85 | 5% |
Other | 361 | 22% |
Unknown | 629 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 219 | 13% |
Social Sciences | 136 | 8% |
Engineering | 129 | 8% |
Computer Science | 88 | 5% |
Economics, Econometrics and Finance | 49 | 3% |
Other | 360 | 22% |
Unknown | 688 | 41% |