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VOSviewer
A software tool for analyzing and visualizing
scientific literature
Nees Jan van Eck
Centre for Science and Technology Studies (CWTS), Leiden University
ALPSP 10th Annual Conference and Awards
Grand Hotel Huis ter Duin, Noordwijk, The Netherlands, September 14, 2017
1
VOSviewer
• Software tool for visualizing
(bibliometric) networks
• Built-in support for popular
bibliographic databases
• Text mining functionality
• Layout and clustering techniques
• Advanced visualization features:
– Smart labeling algorithm
– Overlay visualizations
– Density visualizations (‘heat map’)
2
Users of VOSviewer
• Researchers
• Research institutions
– Universities
– Academic libraries
• Research funders
• Scientific publishers
• Industry
3
Bibliometric networks in VOSviewer
4
Web of
Science
Scopus
PubMed
Crossref
Citation network
of pubs / journals / authors / orgs / countries
Co-authorship network
of authors / orgs / countries
Co-citation network
of pubs / journals / authors / orgs / countries
Co-occurrence network
of keywords / terms
Bibliographic coupling network
of pubs / journals / authors
Bibliographic
database
Demo: Creating bibliometric maps using
VOSviewer
• 2,667 publications in 3 journals
(time period 2007–2016):
– Journal of Informetrics
– Journal of the Association for Information Science
and Technology
– Scientometrics
• Data downloaded from:
– Clarivate Analytics Web of Science
– Crossref
– oaDOI
5
Term map
6
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
7
Term map: Time trend
8
Term map: Citation impact
9
Term map: Open access (green and hybrid)
10
Term map: Journals
11
JOI Scientometrics
JASIST
Term map: Countries
12
ChinaUSA
Co-citation map of journals
13
Co-authorship map of authors
14
VOSviewer 2.0
• Users:
– Management of research institutions
– Research funders
– Scientific publishers
– Industry
• Functionality:
– Interactive visual exploration of the scientific literature organized in a customizable fine-
grained manner
– Linking the interactive visualizations to the underlying scientometric data
– Better handling of large scientometric data sets
– Taking advantage of new scientometric data sources
15
Do it yourself!
16
www.vosviewer.com
Thank you for your attention!
17

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VOSviewer: A software tool for analyzing and visualizing scientific literature

  • 1. VOSviewer A software tool for analyzing and visualizing scientific literature Nees Jan van Eck Centre for Science and Technology Studies (CWTS), Leiden University ALPSP 10th Annual Conference and Awards Grand Hotel Huis ter Duin, Noordwijk, The Netherlands, September 14, 2017
  • 2. 1
  • 3. VOSviewer • Software tool for visualizing (bibliometric) networks • Built-in support for popular bibliographic databases • Text mining functionality • Layout and clustering techniques • Advanced visualization features: – Smart labeling algorithm – Overlay visualizations – Density visualizations (‘heat map’) 2
  • 4. Users of VOSviewer • Researchers • Research institutions – Universities – Academic libraries • Research funders • Scientific publishers • Industry 3
  • 5. Bibliometric networks in VOSviewer 4 Web of Science Scopus PubMed Crossref Citation network of pubs / journals / authors / orgs / countries Co-authorship network of authors / orgs / countries Co-citation network of pubs / journals / authors / orgs / countries Co-occurrence network of keywords / terms Bibliographic coupling network of pubs / journals / authors Bibliographic database
  • 6. Demo: Creating bibliometric maps using VOSviewer • 2,667 publications in 3 journals (time period 2007–2016): – Journal of Informetrics – Journal of the Association for Information Science and Technology – Scientometrics • Data downloaded from: – Clarivate Analytics Web of Science – Crossref – oaDOI 5
  • 8. 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 7
  • 9. Term map: Time trend 8
  • 10. Term map: Citation impact 9
  • 11. Term map: Open access (green and hybrid) 10
  • 12. Term map: Journals 11 JOI Scientometrics JASIST
  • 14. Co-citation map of journals 13
  • 15. Co-authorship map of authors 14
  • 16. VOSviewer 2.0 • Users: – Management of research institutions – Research funders – Scientific publishers – Industry • Functionality: – Interactive visual exploration of the scientific literature organized in a customizable fine- grained manner – Linking the interactive visualizations to the underlying scientometric data – Better handling of large scientometric data sets – Taking advantage of new scientometric data sources 15
  • 18. Thank you for your attention! 17