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Multiple perspectives on bibliometric data

  1. Dr. NeesJan van Eck Centre for Science and Technology Studies (CWTS), Leiden University Annual Research Directors’ Forum Meeting, CREST, Stellenbosch University Stellenbosch, November 5, 2014 Multiple perspectives on bibliometricdataBibliometricnetwork analysis and science mapping using VOSviewerand CitNetExplorer
  2. Centre for Science and Technology Studies (CWTS) •Research center of Leiden University in quantitative studies of science (bibliometricsand scientometrics) •Bibliometriccontract research –Monitoring & evaluation –Advanced analytics –Training & education 1
  3. Short bio •Master in computer science •PhD thesis on bibliometricmapping of science •Since 2009, researcher at Leiden University’s CWTS –Bibliometricnetwork analysis –Bibliometricindicators of research performance 2
  4. Introduction 3
  5. Bibliometricmapping of science •Bibliometricsis the scientific field that quantitatively studies all kinds of bibliographic data •Bibliometricmapping of science is about quantitative methods for visually representing scientific literature based on bibliographic data 4
  6. Aim of bibliometricmaps •To provide an overview of the structure of the scientific literature in a certain domain or on a certain topic •Applications: –To identify the main research areas within a scientific field –To get insight into the size of the different areas –To see how the areas relate to each other 5
  7. Types of bibliometricmaps •Co-authorship maps of –authors / organizations •Co-citation maps of –publications / journals / authors •Bibliographic coupling maps –publications / journals / authors / organizations •Co-occurrence maps of –keywords / terms extracted from titles and abstracts of articles 6
  8. Bibliographic databases •Contain metadata about publications and their citing publications •Examples: –Thomson Reuters’ Web of Science –Elsevier’s Scopus –MEDLINE 7 –Authors –Affiliations –Source –Volume –Issue –Pages –Publications year –DOI –Title –Abstract –Keywords –Document type –Cited references
  9. Bibliometricnetworks 8 Web of Science Scopus Citation network of publications Co-authorship network of authors / organizations Co-citation network of pubs / authors / journals Co-occurrence network of terms Bibliographic coupling network of pubs / authors / journals Bibliographic database
  10. VOSviewer 9
  11. VOSviewer 10
  12. 11 VOSviewer •Web of Science support •Natural language processing techniques •State-of-the-art mapping and clustering algorithms •Powerful visualizations •Advanced zoom, scroll, and search functionality •Smart label placement algorithm
  13. Bibliometricmaps in VOSviewer •Co-authorship maps of –authors / organizations •Co-citation maps of –publications / journals / authors (first author only) •Bibliographic coupling maps –publications / journals / authors / organizations •Co-occurrence maps of –terms extracted from titles and abstracts of articles 12
  14. •2,667 publications in 3 journals (time period 2009– 2013): –Journal of Informetrics –Journal of the American Society for Information Science and Technology –Scientometrics •Data downloaded from the online version of Web of Science Demo: Creating different bibliometricmaps using VOSviewer 13
  15. Term map 14
  16. Bibliographic coupling map of authors 15
  17. Co-citation map of journals 16
  18. Term map of social science research on global environmental change 17 Source: report/read-changing-global-environments/
  19. Term map of clinical neurology 18
  20. Clinical Neurology: Citation density 19 (Van Eck et al., PLoSONE, 2012)
  21. Clinical Neurology: Reference density 20
  22. Structure of the computational intelligence field 1996-2000 21
  23. Structure of the computational intelligence field 1996-2000 22
  24. Structure of the computational intelligencefield 2001-2005 23
  25. Structure of the computational intelligencefield 2001-2005 24
  26. Evolution of the computational intelligence field 25 1996-2000 2001-2005
  27. Co-citation map of journals 26
  28. Journal application domains 27 (Tijssen, JASIST, 2010)
  29. Co-authorship map of universities 28 Source:
  30. Citation map of Web of Science fields 29
  31. Leiden University 30
  32. Erasmus University Rotterdam 31
  33. Delft University of Technology 32
  34. Large-scale mapping and clustering 33
  35. CitNetExplorer 34
  36. CitNetExplorer 35
  37. •Any type of bibliometric network •Co-citation and bibliographic coupling of publications •Time dimension is ignored •At most about 10,000 publications are supported •Only citation networks of publications •Direct citations between publications •Time dimension is explicitly considered •Millions of publications are supported 36 VOSviewer CitNetExplorer
  38. Why use CitNetExplorer? •To analyze the structure and development of a research field –Example: Identifying the main topics in the field of scientometrics and tracing the developments within each topic •To delineate a research area –Example: Delineating the literature on science mapping •To study publication oeuvres –Example: Identifying the publications of a researcher and analyzing the influence of cited and citing publications •To support literature reviewing –Example: Reviewing the literature on the h-index 37
  39. •26,002 publications in 14 journals (time period 1945–2013): •Data downloaded from the online version of Web of Science Demo: Analyzing the structure and development of scientometrics American Documentation ARIST ASLIB Proceedings Information Proc.& Manag. Information Scientist Information Storage & Retrieval Journal of Documentation Journal of Information Science Journal of Informetrics JASIS JASIST Research Evaluation Research Policy Scientometrics 38
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  45. Structure of scientometric literature •Citation analysis: –Foundations –Research evaluation –Field normalization –h-index –Journal impact factor •Science mapping •Co-authorship and collaboration •Scientometric laws •Webometrics 44
  46. More information 45
  47. Websites 46
  48. Publications on VOSviewer •Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometricmapping. Scientometrics, 84(2), 523-538. 10.1007/s11192-009-0146-3 •Van Eck, N.J., & Waltman, L. (2009). How to normalize cooccurrencedata? An analysis of some well-known similarity measures. JASIST, 60(8), 1635-1651. 10.1002/asi.21075 •Waltman, L., Van Eck, N.J., & Noyons, E.C.M. (2010). A unified approach to mapping and clustering of bibliometricnetworks. Journal of Informetrics, 4(4), 629-635. 10.1016/j.joi.2010.07.002 •Van Eck, N.J., Waltman, L., Dekker, R., & Van den Berg, J. (2010). A comparison of two techniques for bibliometricmapping: Multidimensional scaling and VOS. JASIST, 61(12), 2405-2416. 10.1002/asi.21421 •Waltman, L., & Van Eck, N.J. (2013). A smart local moving algorithm for large- scale modularity-based community detection. European Physical Journal B, 86(11), 471. 10.1140/epjb/e2013-40829-0 47
  49. Publications on CitNetExplorer •Van Eck, N.J., & Waltman, L. (2014). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823. 10.1016/j.joi.2014.07.006 •Van Eck, N.J., & Waltman, L. (2014). Systematic retrieval of scientific literature based on citation relations: Introducing the CitNetExplorertool. In Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval (BIR 2014), pages 13-20. 48
  50. Course: BibliometricNetwork Analysis and Science Mapping Using VOSviewer •April 14-15, 2015 •Leiden University, The Netherlands •Participants are introduced into the main techniques for bibliometricnetwork analysis and science mapping •Special attention is paid to applications in a research evaluation and science policy context • 49
  51. Thank you for your attention! 50