A matrix-based visualization for exploring dynamic compound digraphs

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2013, Pages 66-73

  Burch, Michael ^a   Schmidt, Benjamin ^a   Weiskopf, Daniel ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Dynamic graph visualization

Indexed keywords

CATEGORICAL ATTRIBUTES; DYNAMIC GRAPH; HIERARCHICAL ORGANIZATIONS; INTERACTION TECHNIQUES; VISUAL INFORMATION SEEKING; VISUALIZATION METHOD; VISUALIZATION TECHNIQUE; WEIGHTED ATTRIBUTES;

ALGORITHMS; DATA VISUALIZATION; DIRECTED GRAPHS; TOOLS; VISUALIZATION;

MATRIX ALGEBRA;

EID: 84893256203     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2013.8     Document Type: Conference Paper

References (21)

1. R. Rosenholtz, Y. Li, J. Mansfield, and Z. Jin, Feature congestion: A measure of display clutter, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2005, pp. 761-770.
2. B. Shneiderman, The eyes have it: A task by data type taxonomy for information visualizations, in Proceedings of the IEEE Symposium on Visual Languages, 1996, pp. 336-343.
3. P. Eades, Drawing free trees, Bulletin of the Institute for Combinatorics and its Applications, vol. 5, no. 2, pp. 10-36, 1992.
4. G. di Battista, P. Eades, R. Tamassia, and I. G. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs. Upper Saddle River, NJ: Prentice Hall, 1999.
5. T. M. Fruchterman and E. M. Reingold, Graph drawing by force-directed placement, Software: Practice and Experience, vol. 21, no. 11, pp. 1129-1164, 1991.
6. T. Kamada and S. Kawai, An algorithm for drawing general undirected graphs, Information Processing Letters, vol. 31, no. 1, pp. 7-15, 1989.
7. 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.
8. H. C. Purchase, D. Carrington, and J.-A. Allder, Empirical evaluation of aesthetics-based graph layout, Empirical Software Engineering, vol. 7, no. 3, pp. 233-255, 2002.
9. C. Ware, H. Purchase, L. Colpoys, and M. McGill, Cognitive measurements of graph aesthetics, Information Visualization, vol. 1, no. 2, pp. 103-110, 2002.
10. I. Herman, G. Melançon, and M. S. Marshall, Graph visualization and navigation in information visualization: A survey, IEEE Transactions on Visualization and Computer Graphics, vol. 6, no. 1, pp. 24-43, 2000.
11. M. Ghoniem, J.-D. Fekete, and P. Castagliola, A comparison of the readability of graphs using node-link and matrixbased representations, in Proceedings of IEEE Symposium on Information Visualization, 2004, pp. 17-24.
12. M. Burch and S. Diehl, TimeRadarTrees: Visualizing dynamic compound digraphs, Computer Graphics Forum, vol. 27, no. 3, pp. 823-830, 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. B. Tversky, J. B. Morrison, and M. B́etrancourt, Animation: Can it facilitate? International Journal on Human-Computer Studies, vol. 57, no. 4, pp. 247-262, 2002.
15. S. Diehl and C. G̈org, Graphs, they are changing, in Proceedings of International Symposium on Graph Drawing, 2002, pp. 23-30.
16. Y. Frishman and A. Tal, Online dynamic graph drawing, IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 4, pp. 727-740, 2008.
17. J. S. Yi, N. Elmqvist, and S. Lee, TimeMatrix: Analyzing temporal social networks using interactive matrix-based visualizations, International Journal on Human Computer Interaction, vol. 26, no. 11, pp. 1031-1051, 2010.
18. 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.
19. R. Gove, N. Gramsky, R. Kirby, E. Sefer, A. Sopan, C. Dunne, B. Shneiderman, and M. Taieb-Maimon, NetVisia: Heat map and matrix visualization of dynamic social network statistics and content, in Proceedings of IEEE Conference on Social Computing, 2011, pp. 19-26.
20. K. Stein, R. Wegener, and C. Schlieder, Pixel-oriented visualization of change in social networks, in Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010, pp. 233-240.
21. J. Kruskal and J. Landwehr, Icicle plots: Better displays for hierarchical clustering, The American Statistician, vol. 37, no. 2, pp. 162-168, 1983.