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1 von 16
funded within the Austrian Competence Center Programme 
www.know-center.at 
Altmetrics-based 
Visualizations 
Depicting the Evolution 
of a Knowledge Domain 
Peter Kraker (Know-Center) 
Philipp Weißensteiner (TU Graz) 
Peter Brusilovsky (University of 
Pittsburgh)
2 
Introduction 
Evolution of a Knowledge Domain 
Garfield et al. (1964)
3 
Introduction 
Evolution of a Knowledge Domain 
Chen and Kuljis (2003)
4 
Introduction 
Altmetrics-based Visualizations 
Bollen et al. 
(2009)
5 
Introduction 
Altmetrics-based Visualizations 
Kraker (2014)
6 
Introduction 
Approach 
Knowledge domain: scientific conferences 
Research Questions 
How to automatically determine the intellectual 
structure of a scientific conference? 
How to visualize the evolution of this intellectual 
structure? 
How to design the visualization so that it facilitates 
unsupervised exploration? 
Base: scheduling data in Conference Navigator 
(Parra et al. 2012)
7 
Data 
Use Case: 19th and 20th Conference on User 
Modelling, Adaptation and Personalization 
Article metadata and co-bookmarking data
8 
Method
9 
Results 
http://stellar.know-center.tugraz.at/umap/
10 
Visualization of Time-Series 
Data 
Simple visualizations are not able to convey all 
necessary dimensions of the data 
Animation 
Change blindness: people have difficulties 
recognizing change in an object or a scene (Simons 
and Rensink, 2005) 
The effect can also be observed in animation
11 
Visualization of Time-Series Data 
Suchow & Alvarez (2011) 
http://vimeo.com/18074674
12 
Visualization of Time-Series 
Data 
Simple visualizations are not able to convey all 
necessary dimensions of the data 
Animation 
Change blindness: people have difficulties 
recognizing change in an object or a scene (Simons 
and Rensink, 2005) 
The effect can also be observed in 
animation 
 Solution: Small Multiples 
(Tufte, 1990)
13 
Results 
http://stellar.know-center.tugraz.at/umap/
14 
Discussion and Outlook 
First results are encouraging… 
…but there are certain problems: 
Topology  force-directed layout 
Method depends on usage of the system 
Continuity  moving time windows of two years 
Outlook 
Further use cases and longer timeframes 
Evaluation: Comparison to other measures, expert 
interviews
15 
References 
Chen, C., & Kuljis, J. (2003). The rising landscape: A visual 
exploration of superstring revolutions in physics. Journal of the 
American Society for Information Science and Technology, 54(5), 
435–446. 
Garfield, E., Sher, I., & Torpie, R. (1964). The use of citation data in 
writing the history of science (p. 75). 
Kraker, P. (2013). Visualizing Research Fields based on Scholarly 
Communication on the Web. University of Graz. 
Parra, D., Jeng, W., Brusilovsky, P., López, C., & Sahebi, S. (2012). 
Conference Navigator 3: An online social conference support system. 
In UMAP Workshops (pp. 1–4). 
Simons, D. J., & Rensink, R. A. (2005). Change blindness: past, 
present, and future. Trends in Cognitive Sciences, 9(1), 16–20. 
doi:10.1016/j.tics.2004.11.006 
Suchow, J.W., & Alvarez, G.A. (2011). Motion silences awareness of 
visual change. Current Biology. doi:10.1016/j.cub.2010.12.019 
Tufte, E. R. (1990). Envisioning Information (p. 127). Graphics 
Press.
16 
Dank u voor uw aandacht! 
Comments? Questions? 
Dr. Peter Kraker 
pkraker@know-center.at 
http://science20.wordpress.com 
http://twitter.com/PeterKraker 
Code: 
http://github.com/pkraker/Headstart 
Demo: 
http://stellar.know-center. 
tugraz.at/umap

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Altmetrics-based Visualizations Depicting the Evolution of a Knowledge Domain

  • 1. funded within the Austrian Competence Center Programme www.know-center.at Altmetrics-based Visualizations Depicting the Evolution of a Knowledge Domain Peter Kraker (Know-Center) Philipp Weißensteiner (TU Graz) Peter Brusilovsky (University of Pittsburgh)
  • 2. 2 Introduction Evolution of a Knowledge Domain Garfield et al. (1964)
  • 3. 3 Introduction Evolution of a Knowledge Domain Chen and Kuljis (2003)
  • 4. 4 Introduction Altmetrics-based Visualizations Bollen et al. (2009)
  • 5. 5 Introduction Altmetrics-based Visualizations Kraker (2014)
  • 6. 6 Introduction Approach Knowledge domain: scientific conferences Research Questions How to automatically determine the intellectual structure of a scientific conference? How to visualize the evolution of this intellectual structure? How to design the visualization so that it facilitates unsupervised exploration? Base: scheduling data in Conference Navigator (Parra et al. 2012)
  • 7. 7 Data Use Case: 19th and 20th Conference on User Modelling, Adaptation and Personalization Article metadata and co-bookmarking data
  • 10. 10 Visualization of Time-Series Data Simple visualizations are not able to convey all necessary dimensions of the data Animation Change blindness: people have difficulties recognizing change in an object or a scene (Simons and Rensink, 2005) The effect can also be observed in animation
  • 11. 11 Visualization of Time-Series Data Suchow & Alvarez (2011) http://vimeo.com/18074674
  • 12. 12 Visualization of Time-Series Data Simple visualizations are not able to convey all necessary dimensions of the data Animation Change blindness: people have difficulties recognizing change in an object or a scene (Simons and Rensink, 2005) The effect can also be observed in animation  Solution: Small Multiples (Tufte, 1990)
  • 14. 14 Discussion and Outlook First results are encouraging… …but there are certain problems: Topology  force-directed layout Method depends on usage of the system Continuity  moving time windows of two years Outlook Further use cases and longer timeframes Evaluation: Comparison to other measures, expert interviews
  • 15. 15 References Chen, C., & Kuljis, J. (2003). The rising landscape: A visual exploration of superstring revolutions in physics. Journal of the American Society for Information Science and Technology, 54(5), 435–446. Garfield, E., Sher, I., & Torpie, R. (1964). The use of citation data in writing the history of science (p. 75). Kraker, P. (2013). Visualizing Research Fields based on Scholarly Communication on the Web. University of Graz. Parra, D., Jeng, W., Brusilovsky, P., López, C., & Sahebi, S. (2012). Conference Navigator 3: An online social conference support system. In UMAP Workshops (pp. 1–4). Simons, D. J., & Rensink, R. A. (2005). Change blindness: past, present, and future. Trends in Cognitive Sciences, 9(1), 16–20. doi:10.1016/j.tics.2004.11.006 Suchow, J.W., & Alvarez, G.A. (2011). Motion silences awareness of visual change. Current Biology. doi:10.1016/j.cub.2010.12.019 Tufte, E. R. (1990). Envisioning Information (p. 127). Graphics Press.
  • 16. 16 Dank u voor uw aandacht! Comments? Questions? Dr. Peter Kraker pkraker@know-center.at http://science20.wordpress.com http://twitter.com/PeterKraker Code: http://github.com/pkraker/Headstart Demo: http://stellar.know-center. tugraz.at/umap