Radial edge splatting for visualizing dynamic directed graphs

GRAPP 2012 IVAPP 2012 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications

Volumn , Issue , 2012, Pages 603-612

  Burch, Michael ^a   Beck, Fabian ^b   Weiskopf, Daniel ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF TRIER   (Germany)

Author keywords

Graph visualization; Node link DIagrams; Radial layout; Splatting

Indexed keywords

CALL GRAPHS; CURVED LINES; DENSITY FIELDS; DYNAMIC GRAPH; EDGE LENGTH; GRAPH EDGES; GRAPH VERTEX; GRAPH VISUALIZATION; LARGE DATASETS; NODE-LINK DIAGRAMS; OPEN SOURCE SOFTWARE PROJECTS; RADIAL LAYOUT; SPLATTING; TEMPORAL EVOLUTION; VISUAL CLUTTER;

DIRECTED GRAPHS; INFORMATION ANALYSIS; INFORMATION SYSTEMS; VISUALIZATION;

COMPUTER GRAPHICS;

EID: 84862203291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Andrews, K. and Kasanicka, J. (2007). A Comparative Study of Four Hierarchy Browsers Using the Hierarchical Visualisation Testing Environment (HVTE). In Proceedings of International Conference on Information Visualization (IV), pages 81-86. IEEE Computer Society Press.
2. Beck, F., Burch, M., and Diehl, S. (2009). Towards an Aesthetic Dimensions Framework for Dynamic Graph Visualisations. In Proceedings of International Conference on Information Visualization (IV), pages 592-597. IEEE Computer Society Press.
3. Brandes, U. and Nick, B. (2011). Asymmetric Relations in Longitudinal Social Networks. IEEE Transactions on Visualization and Computer Graphics, 17(12):2283-2290.
4. Burch, M., Bott, F., Beck, F., and Diehl, S. (2008). Cartesian vs. Radial - A Comparative Evaluation of Two Visualization Tools. In Proceedings of International Symposium on Visual Computing (ISVC), pages 151-160.
5. Burch, M. and Diehl, S. (2008). TimeRadarTrees: Visualizing Dynamic Compound Digraphs. Computer Graphics Forum, 27(3):823-830.
6. Burch, M., Höferlin, M., and Weiskopf, D. (2011a). Layered TimeRadarTrees. In Proceedings of International Conference on Information Visualization (IV), pages 18-25. IEEE Computer Society Press.
7. Burch, M., Vehlow, C., Beck, F., Diehl, S., and Weiskopf, D. (2011b). Parallel Edge Splatting for Scalable Dynamic Graph Visualization. IEEE Transactions on Visualization and Computer Graphics, 17(12):2344-2353.
8. Cleveland, W. S. and McGill, R. (1986). An Experiment in Graphical Perception. International Journal of Man-Machine Studies, 25(5):491-501.
9. Diehl, S., Beck, F., and Burch, M. (2010). Uncovering Strengths and Weaknesses of Radial Visualizations- an Empirical Approach. IEEE Transactions on Visualization and Computer Graphics, 16(6):935-942.
10. Diehl, S. and Görg, C. (2002). Graphs, They Are Changing. In Proceedings of International Symposium on Graph Drawing, pages 23-30. Springer.
11. Draper, G., Livnat, Y., and Riesenfeld, R. (2009). A Survey of Radial Methods for Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 15(5):759-776.
12. Frishman, Y. and Tal, A. (2008). Online Dynamic Graph Drawing. IEEE Transactions on Visualization and Computer Graphics, 14(4):727-740.
13. Garey, M. R. and Johnson, D. S. (1979). Computers and Intractability: A Guide to the Theory of NP Completeness. W. H. Freeman & Co., New York, NY, USA.
14. Gove, R., Gramsky, N., Kirby, R., Sefer, E., Sopan, A., Dunne, C., Shneiderman, B., and Taieb-Maimon, M. (2011). NetVisia: Heat Map and Matrix Visualization of Dynamic Social Network Statistics and Content. In Proceedings of IEEE Conference on Social Computing. IEEE Press.
15. Greilich, M., Burch, M., and Diehl, S. (2009). Visualizing the Evolution of Compound Digraphs with Time Arc-Trees. Computer Graphics Forum, 28(3):975-982.
16. Holten, D., Isenberg, P., van Wijk, J. J., and Fekete, J.-D. (2011). An Extended Evaluation of the Readability of Tapered, Animated, and Textured Directed-Edge Representations in Node-Link Graphs. In Proceedings of the Pacific Symposium on Visualization, pages 195-202.
17. Inselberg, A. and Dimsdale, B. (1990). Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry. In Proceedings of IEEE Visualization, pages 361-378.
18. Kobsa, A. (2004). User Experiments with Tree Visualization Systems. In IEEE Symposium on Information Visualization, pages 9-16. IEEE Computer Society.
19. Misue, K., Eades, P., Lai, W., and Sugiyama, K. (1995). Layout Adjustment and the Mental Map. Journal of Visual Languages and Computing, 6(2):183-210.
20. Purchase, H. C., Carrington, D., and Allder, J.-A. (2002). Empirical Evaluation of Aesthetics-Based Graph Layout. Empirical Software Engineering, 7(3):233-255.
21. Purchase, H. C., Cohen, R. F., and James, M. (1996). Validating Graph Drawing Aesthetics. In Proceedings of International Symposium on Graph Drawing, pages 435-446.
22. Purchase, H. C., McGill, M., Colpoys, L., and Carrington, D. (2001). Graph Drawing Aesthetics and the Comprehension of UML Class Diagrams: An Empirical Study. In Proceedings of the Asia-Pacific Symposium on Information Visualisation, pages 129-137.
23. Rosenholtz, R., Li, Y., Mansfield, J., and Jin, Z. (2005). Feature Congestion: A Measure of Display Clutter. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems, pages 761-770.
24. Schonlau, M. and Peters, E. (2008). Graph Comprehension: An Experiment in Displaying Data as Bar Charts, Pie Charts and Tables With and Without the Gratuitous 3rd Dimension. Social Science Research Network Working Paper Series.
25. Shneiderman, B. (1996). The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proceedings of IEEE Symposium on Visual Languages, pages 336-343. IEEE Computer Society Press.
26. Spence, I. and Lewandowsky, S. (1991). Displaying Proportions and Percentages. Cognitive Psychology, 5(1):61-77.
27. Stasko, J., Catrambone, R., Guzdial, M., and McDonald, K. (2000). An Evaluation of Space-Filling Information Visualizations for Depicting Hierarchical Structures. International Journal of Human-Computer Studies, 53(5):663-694.
28. Stein, K., Wegener, R., and Schlieder, C. (2010). Pixel-Oriented Visualization of Change in Social Networks. In Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pages 233-240. IEEE Computer Society.
29. Tversky, B., Morrison, J. B., and Bétrancourt, M. (2002). Animation: can it facilitate? International Journal on Human-Computer Studies, 57(4):247-262.
30. von Landesberger, T., Kuijper, A., Schreck, T., Kohlhammer, J., van Wijk, J. J., Fekete, J.-D., and Fellner, D.W. (2011). Visual Analysis of Large Graphs: Stateof-the-Art and Future Research Challenges. Computer Graphics Forum, 30(6):1719-1749.
31. Yi, J. S., Elmqvist, N., and Lee, S. (2010). TimeMatrix: Analyzing Temporal Social Networks Using Interactive Matrix-Based Visualizations. International Journal of Human-Computer Interaction, 26(11):1031-1051.