gefördert durch das KompetenzzentrenprogrammWeb Science Webinar12 June 2013know-center.tugraz.atHead Start: Improving Acad...
© Know-Center 20112MotivationOverview of a research field
© Know-Center 20113MotivationInformation overloadInformation overload is NOT a contemporary problem inscienceScience has b...
© Know-Center 20114Exemplary visualization of the research field“Educational Technology”
© Know-Center 20115The „traditional“ way of creating overviewvisualizationsBasis: CitationsCo-citations as a measure of su...
© Know-Center 20116A new approachVisualisations based on the readership of publicationsAssumptions: Publications that are ...
© Know-Center 20117Online reference management in MendeleyPaper 1 Paper 2 30Paper 1 Paper 3 100Paper 2 Paper 3 5
© Know-Center 20118Data & MethodResearch field of Educational Technology as a use caseData from Mendeley91 publications fr...
© Know-Center 20119ResultsPrototype in Mendeley Labshttp://labs.mendeley.com/headstart
© Know-Center 201110ResultsValidation through literature comparisonQualitative comparison with other forms of literaturean...
© Know-Center 201111Conclusions and Future WorkVisualizations based on readership statistics offer a morerecent, and a mor...
© Know-Center 201112ReferencesBollen, J., & Van de Sompel, H. (2006). Mapping the structure of sciencethrough usage. Scien...
gefördert durch das KompetenzzentrenprogrammWeb Science Webinar12 June 2013know-center.tugraz.atThank you very much for yo...
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Head Start: Improving Academic Literature Search with Overview Visualizations based on Readership Statistics

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Presentation from the WebSci13 Poster Showcase webinar at the Web Science Trust on 12/06/2013.

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Head Start: Improving Academic Literature Search with Overview Visualizations based on Readership Statistics

  1. 1. gefördert durch das KompetenzzentrenprogrammWeb Science Webinar12 June 2013know-center.tugraz.atHead Start: Improving AcademicLiterature Search with OverviewVisualizations based onReadership StatisticsPeter Kraker, Kris Jack, Christian Schlögl,Christoph Trattner, Stefanie Lindstaedt
  2. 2. © Know-Center 20112MotivationOverview of a research field
  3. 3. © Know-Center 20113MotivationInformation overloadInformation overload is NOT a contemporary problem inscienceScience has been growing exponentially forthe last 400 years (Price 1963)Number of papers (Larsen/von Ins 2010)Number of researchers (NSB 2010)ProblemMissing overview of research fields Approach: VisualizationsPrice 1963Extended by Leydesdorff (2008)
  4. 4. © Know-Center 20114Exemplary visualization of the research field“Educational Technology”
  5. 5. © Know-Center 20115The „traditional“ way of creating overviewvisualizationsBasis: CitationsCo-citations as a measure of subject similarity (Small 1973)Problem: Citations take very long to appear in meaningfulquantities (~3-5 years) Visualizations actually a look into the past!
  6. 6. © Know-Center 20116A new approachVisualisations based on the readership of publicationsAssumptions: Publications that are often read together, areof a similar subject (Rowlands & Nicholas 2007, Bollen &van de Sompel 2008)With online reference management systems (e.g.Mendeley), we can measure readershipReadership statistics are much earlier available thancitations
  7. 7. © Know-Center 20117Online reference management in MendeleyPaper 1 Paper 2 30Paper 1 Paper 3 100Paper 2 Paper 3 5
  8. 8. © Know-Center 20118Data & MethodResearch field of Educational Technology as a use caseData from Mendeley91 publications from users in Educational Technology7,414 user libraries19,402 co-occurrencesMethodsMultidimensional Scaling (MDS)Force-directed LayoutHierarchical ClusteringNaming approach using OpenCalais and ZemantaStress: 0,2; R2: 0,86
  9. 9. © Know-Center 20119ResultsPrototype in Mendeley Labshttp://labs.mendeley.com/headstart
  10. 10. © Know-Center 201110ResultsValidation through literature comparisonQualitative comparison with other forms of literatureanalysis of the field of Educational Technology10 studies: citations, words, qualitative content analysis,Delphi study, larger streams• Comparison to citations• Recent topics arebetter covered• More and morediverse areas• Most research areasfrom qualitative analysesare covered as well• Qualitative studies offer amore differentiated image• Areas that are mostlyinfluenced by computerscience are missing (e.g.“Adaptive Hypermedia”)
  11. 11. © Know-Center 201111Conclusions and Future WorkVisualizations based on readership statistics offer a morerecent, and a more diverse representation of the field thanvisualizations based on citationsAutomatization is possible with a few manual interventionsBut: Characteristics of readers have an influence on thevisualizationFuture WorkExpert interviewsExtension to Web Science (basedon the work of Clare Hooper)Adaptivity/Personalization
  12. 12. © Know-Center 201112ReferencesBollen, J., & Van de Sompel, H. (2006). Mapping the structure of sciencethrough usage. Scientometrics, 69(2), 227–258.Kraker, P., Körner, C., Jack, K., & Granitzer, M. (2012). Harnessing UserLibrary Statistics for Research Evaluation and Knowledge DomainVisualization. Proceedings of the 21st International ConferenceCompanion on World Wide Web (pp. 1017–1024). Lyon: ACM.Leydesdorff, L. (2008). Journals as retention mechanisms of scientificgrowth - Research Trends. Research Trends, 7, 6–7.Price, D. J. D. S. (1963). Little science, big science (p. 118). Columbia Univ.Press.Rowlands, I., & Nicholas, D. (2007). The missing link: journal usagemetrics. Aslib Proceedings, 59(3), 222–228.Small, H. (1973). Co-citation in the scientific literature: A new measure ofthe relationship between two documents. Journal of the American Societyfor information Science, 24(4), 265–269.Images on slides 4, 5, 6, 7, and 11 by Maxi Schramm.
  13. 13. gefördert durch das KompetenzzentrenprogrammWeb Science Webinar12 June 2013know-center.tugraz.atThank you very much for yourattention!pkraker@know-center.athttp://science20.wordpress.comhttp://twitter.com/PeterKraker

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