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Advanced bibliometric software tools for publishers and editors

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Presentation at the Training Course on “Big data and academic publication”, National Science Library, CAS, Beijing, China, June 22, 2016.

Published in: Science

Advanced bibliometric software tools for publishers and editors

  1. 1. Advanced bibliometric software tools for publishers and editors Nees Jan van Eck Centre for Science and Technology Studies (CWTS), Leiden University Training course on “Big data and academic publication” National Science Library, CAS, Beijing, China, June 22, 2016
  2. 2. About myself (1) • Master in computer science • PhD thesis on bibliometric mapping of science • Researcher at CWTS since 2009 – Bibliometric network analysis and visualization – Bibliometric indicators of research performance • Head of ICT • Board member 1
  3. 3. About myself (2) • Editorial board member of – Journal of the Association for Information Science and Technology – Journal of Data and Information Science – Journal of Informetrics – Scientometrics • Editor brief communications JASIST • Board member ISSI 2
  4. 4. Centre for Science and Technology Studies (CWTS) • Research center at Leiden University focusing on science and technology studies • About 30 staff members • History of more than 25 years in bibliometric and scientometric research • Contract research • Full access to large bibliographic database (Web of Science and Scopus) 3
  5. 5. Bibliographic databases: ‘Big data’ 4 Web of Science Scopus Journals 12,000 20,000 Publications 45 million 35 million Citations 1 billion 0.9 billion
  6. 6. Bibliometric networks 5 Web of Science Scopus Citation network of pubs / authors / journals Co-authorship network of authors / organizations Co-citation network of pubs / authors / journals Co-occurrence network of keywords / terms Bibliographic coupling network of pubs / authors / journals Bibliographic database
  7. 7. Software tools 6
  8. 8. Software tools • VOSviewer (www.vosviewer.com) – Tool for constructing and visualizing bibliometric networks • CitNetExplorer (www.citnetexplorer.nl) – Tool for visualizing and analyzing citation networks of publications • Both tools have been developed together with my colleague Ludo Waltman 7
  9. 9. VOSviewer 8
  10. 10. VOSviewer • Software tool for visualizing (bibliometric) networks • Built-in support for popular bibliographic databases – Web of Science – Scopus – PubMed – RIS files • Text mining functionality • Layout and clustering techniques • Advanced visualization features: – Smart labeling algorithm – Overlay visualizations – Density visualizations (‘heat map’) • Users: – Researchers – Professional users (e.g., universities, libraries, funders, publishers) 9
  11. 11. Increasing use of VOSviewer in scientific publications 10
  12. 12. CitNetExplorer 11
  13. 13. 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 12
  14. 14. • Any type of bibliometric network • Co-authorship, direct citations, co-citation, and bibliographic coupling • Time dimension is ignored • Networks of at most ~10,000 nodes are supported • Only citation networks of publications • Direct citation between publications • Time dimension is explicitly considered • Millions of publications are supported 13 VOSviewer CitNetExplorer
  15. 15. VOSviewer demo 14
  16. 16. Data • Journals: – Journal of the Association for Information Science and Technology (JASIST) – Journal of Informetrics – Scientometrics • Period: 2006-2015 • No. of publications: 5,150 15
  17. 17. Term map 16
  18. 18. Interpretation of a term map • Size: – The larger a term, the higher the frequency of occurrence of the term • Distance: – In general, the smaller the distance between two terms, the higher the relatedness of the terms, as measured by co- occurrences – The horizontal and vertical axes have no special meaning; maps can be freely rotated and flipped • Colors: – Colors indicate clusters of closely related terms 17
  19. 19. Term map – Average publication year 18
  20. 20. Term map – Average citation impact 19
  21. 21. Term map – Journal of Informetrics 20
  22. 22. Term map - Scientometrics 21
  23. 23. Term map - JASIST 22
  24. 24. Term map - USA 23
  25. 25. Term map - China 24
  26. 26. Term map – The Netherlands 25
  27. 27. Co-authorship map of authors 26
  28. 28. Co-citation map of sources 27
  29. 29. Bibliographic map of publications 28
  30. 30. CitNetExplorer demo 29
  31. 31. More information 30
  32. 32. Do it yourself! 31 www.vosviewer.com www.citnetexplorer.nl
  33. 33. Publications on VOSviewer • Van Eck, N.J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring scholarly impact: Methods and practice (pp. 285-320). Springer. 10.1007/978-3-319-10377-8_13 • Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. 10.1007/s11192-009-0146-3 • Waltman, L., Van Eck, N.J., & Noyons, E.C.M. (2010). A unified approach to mapping and clustering of bibliometric networks. 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 bibliometric mapping: 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 32
  34. 34. 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 CitNetExplorer tool. In Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval (BIR 2014), pages 13-20. ceur-ws.org/Vol-1143/paper2.pdf 33
  35. 35. Course: Bibliometric Network Analysis and Science Mapping Using VOSviewer • April 6-7, 2017 • Leiden University, The Netherlands • Participants are introduced into the main techniques for bibliometric network analysis and science mapping • Special attention is paid to applications in a research evaluation and science policy context • www.cwts.nl 34
  36. 36. Thank you for your attention! 35

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