Matching application requirements with dynamic graph visualization profiles

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2013, Pages 11-18

  Beck, Fabian ^a   Burch, Michael ^a   Diehl, Stephan ^b  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF TRIER   (Germany)

Author keywords

Aesthetic criteria; Dynamic graph visualization; Requirements

Indexed keywords

AESTHETIC CRITERIA; APPLICATION REQUIREMENTS; DYNAMIC GRAPH; REQUIREMENTS; VISUALIZATION TECHNIQUE;

VISUALIZATION;

EID: 84893288963     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2013.2     Document Type: Conference Paper

References (22)

1. C. Bennett, J. Ryall, L. Spalteholz, and A. Gooch, The Aesthetics of Graph Visualization, in Proceedings of Computational Aesthetics in Graphics, Visualization, and Imaging, 2007, pp. 57-64.
2. H. C. Purchase, R. F. Cohen, and M. James, Validating graph drawing aesthetics, in Proceedings of the Symposium on Graph Drawing. Springer, 1996, pp. 435-446.
3. H. C. Purchase, Which aesthetic has the greatest effect on human understanding? in Proceedings of the 5th International Symposium on Graph Drawing. Springer, 1997, pp. 248-261.
4. F. Beck, M. Burch, and S. Diehl, Towards an Aesthetic Dimensions Framework for Dynamic Graph Visualisations, in 13th International Conference on Information Visualisation (IV 2009). IEEE Computer Society, 2009, pp. 592-597.
5. K. Misue, P. Eades, W. Lai, and K. Sugiyama, Layout Adjustment and the Mental Map, Journal of Visual Languages and Computing, vol. 6, no. 2, pp. 183-210, 1995.
6. B. Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, in Proceedings of the 1996 IEEE Symposium on Visual Languages. IEEE, 1996, pp. 336-343.
7. M. Ghoniem, J.-D. Fekete, and P. Castagliola, A comparison of the readability of graphs using node-link and matrix-based representations, in Proceedings of the IEEE Symposium on Information Visualization (InfoVis'04), Austin, TX, USA, 2004.
8. B. Lee, C. Plaisant, C. S. Parr, J. D. Fekete, and N. Henry, Task taxonomy for graph visualization, in Proceedings of the 2006 AVI workshop on BEyond time and errors. ACM, 2006, pp. 1-5.
9. J. Ahn, C. Plaisant, and B. Shneiderman, A task taxonomy for network evolution analysis, HCIL, University of Maryland, Tech. Rep., 2012.
10. T. Green and A. F. Blackwell, Cognitive Dimensions of information artefacts: A tutorial, http://www.cl.cam.ac.uk/?afb21/CognitiveDimensions/ CDtutorial.pdf, 1998.
11. S. Diehl and C. G̈org, Graphs, they are changing, in Graph Drawing, ser. Lecture Notes in Computer Science, vol. 2528. Springer, 2002, pp. 23-30.
12. Y. Frishman and A. Tal, Online dynamic graph drawing, IEEE Transactions on Visualization and Computer Graphics, vol. 14, pp. 727-740, July 2008.
13. M. Burch, C. Vehlow, F. Beck, S. Diehl, and D. Weiskopf, Parallel Edge Splatting for Scalable Dynamic Graph Visualization, IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2344-2353, 2011.
14. M. Greilich, M. Burch, and S. Diehl, Visualizing the evolution of compound digraphs with timearctrees, Computer Graphics Forum, vol. 28, no. 3, pp. 975-982, 2009.
15. U. Brandes and B. Nick, Asymmetric relations in longitudinal social networks, IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2283-2290, 2011.
16. K. Stein, R. Wegener, and C. Schlieder, Pixel-Oriented visualization of change in social networks, in Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining. IEEE Computer Society, 2010, pp. 233-240.
17. M. Burch and S. Diehl, TimeRadarTrees: Visualizing dynamic compound digraphs, Computer Graphics Forum, vol. 27, no. 3, pp. 823-830, 2008.
18. F. Beck, M. Burch, C. Vehlow, S. Diehl, and D. Weiskopf, Rapid Serial Visual Presentation in dynamic graph visualization, in IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2012). IEEE, 2012, pp. 185-192.
19. S. Wehrend and C. Lewis, A problem-oriented classification of visualization techniques, in Proceedings of the First IEEE Conference on Visualization. IEEE, 1990, pp. 139-143.
20. M. Zeiller and K. Edlinger, A decision matrix for choosing the proper visualization technique in knowledge visualization, in Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging, ser. CGIM '08. ACTA Press, 2008, pp. 249-254.
21. J. Mackinlay, Automating the design of graphical presentations of relational information, ACM Transactions on Graphics, vol. 5, no. 2, pp. 110-141, 1986.
22. H. Senay and E. Ignatius, A knowledge-based system for visualization design, Computer Graphics and Applications, IEEE, vol. 14, no. 6, pp. 36-47, 1994.