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Bibliometric visualization using VOSviewer

Bibliometric visualization using VOSviewer

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Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.

Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.

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Bibliometric visualization using VOSviewer

  1. 1. Bibliometric visualization using VOSviewer Ludo Waltman Centre for Science and Technology Studies (CWTS), Leiden University Research Output & Impact – New Tools and Concepts Technical University of Denmark September 14, 2017
  2. 2. Centre for Science and Technology Studies (CWTS) • Research center at Leiden University focusing on science and technology studies • Strong emphasis on bibliometric and scientometric research • Provider of commercial scientometric services • History of more than 25 years • Currently about 30 staff members 1
  3. 3. Scientometric databases at CWTS • Web of Science • Scopus • PATSTAT • PubMed • CrossRef • ORCID • Mendeley • Altmetric.com • DataCite • Full-text databases (Elsevier, PubMed Central, Springer, Wiley) 2
  4. 4. 3
  5. 5. Outline • VOSviewer – Introduction – Visualizing the large-scale structure of science – New data sources • CitNetExplorer • Principles and challenges for scientometric visualization 4 Most work presented today was done jointly with CWTS colleague Nees Jan van Eck
  6. 6. • Any type of (scientometric) network • Time dimension is of limited importance • Restricted to small and medium- sized networks • Only direct citation networks of publications • Time dimension is of key importance • Support for large networks 5 VOSviewer CitNetExplorer
  7. 7. VOSviewer: Introduction 6
  8. 8. VOSviewer 7
  9. 9. Co-authorship map 8
  10. 10. Citation map 9
  11. 11. Term co-occurrence map 10
  12. 12. Growing use of VOSviewer 11
  13. 13. VOSviewer: Visualizing the large-scale structure of science 12
  14. 14. Identifying the structure of science • Publications in Web of Science are clustered based on direct citation links (Waltman & Van Eck, 2012): – About 20 million publications in the period 2000–2016 – Over 300 million citation links • Clustering is performed using the smart local moving algorithm (Waltman & Van Eck, 2013), an improvement of the well-known Louvain algorithm • The Leiden algorithm, to be released soon, offers further improvements, allowing all publications in Web of Science to be clustered within one hour 13
  15. 15. Louvain vs. Leiden 14 Leiden algorithmLouvain algorithm
  16. 16. 4000 micro-level fields of science 15 Social sciences and humanities Biomedical and health sciences Physical sciences and engineering Mathematics and computer science Life and earth sciences
  17. 17. Cold vs. hot topics 16 Climate change Obesity Complex networks
  18. 18. Activity of Yonsei University 17
  19. 19. Relative strengths of Yonsei University 18
  20. 20. Relative strengths of Korea University 19
  21. 21. 20 Scientometrics Relative strengths of Yonsei University: Zooming in on social sciences
  22. 22. Focus of Yonsei within scientometrics 21
  23. 23. Focus of Leiden within scientometrics 22
  24. 24. CWTS Leiden Ranking 23 Field-normalized indicators based on 4000 micro-level fields
  25. 25. VOSviewer: New data sources 24
  26. 26. New data sources • Full-text data • Crossref (I4OC) • Microsoft Academic • oaDOI • ... 25
  27. 27. Full-text data: Availability of Elsevier full- text publications 26
  28. 28. 27 Term co-occurrence map based on meta data (i.e., titles and abstracts) Term co-occurrence map based on full- text data
  29. 29. Initiative for Open Citations 28
  30. 30. Journal co-citation map based on Crossref data for Scientometrics 29
  31. 31. Co-authorship map based on Crossref data for Journal of Informetrics 30
  32. 32. VOSviewer version 1.6.6 to be released within the coming weeks! 31
  33. 33. CitNetExplorer 32
  34. 34. CitNetExplorer 33
  35. 35. Standing on the shoulders of giants... 34
  36. 36. Citation network of scientometrics publications 35
  37. 37. Literature reviewing using CitNetExplorer 36
  38. 38. Principles and challenges for scientometric visualization
  39. 39. Principles for scientometric visualization 1. Acknowledge different use cases of visualizations (providing insight vs. attracting attention) 2. Adjust visualizations to the mode of presentation (static vs. interactive) 3. Find an appropriate balance between technical sophistication and methodological transparency
  40. 40. Principles for scientometric visualization 4. Be aware that visualizations tend to give a simplified and incomplete representation of the underlying data 5. Combine visualizations with other pieces of evidence, including your own intuitive judgment 6. Test sensitivity of visualizations to methodological choices; handle these choices pragmatically
  41. 41. Challenges for scientometric visualization • How to take advantage of new scientometric data sources? • How to better link interactive visualizations to the underlying scientometric data? • How to better handle large scientometric data sets? • How to improve visualization literacy in scientometrics?
  42. 42. 41 Thank you for your attention!

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