A Hybrid Model for Drawing Dynamic and Evolving Graphs
Dynamic processes frequently occur in many applications. Visualizations of dynamically evolving data, for example as part of the data analysis, are typically restricted to a cumulative static view or an animation/sequential view. Both methods have their benefits and are often complementary in their use. In this article, we present a hybrid model that combines the two techniques. This is accomplished by 2.5D drawings which are calculated in an incremental way. The method has been evaluated on collaboration networks.
- 4.Brandes, U., Dwyer, T., Schreiber, F.: Visual understanding of metabolic pathways across organisms using layout in two and a half dimensions. Journal of Integrative Bioinformatics 0002(2004)Google Scholar
- 8.Eades, P., Feng, Q.: Multilevel visualization of clustered graphs. In: North, S.C. (ed.) GD 1996. LNCS, vol. 1190, pp. 113–128. Springer, Heidelberg (1997)Google Scholar
- 9.Eades, P., Lai, W., Misue, K., Sugiyama, K.: Preseving the mental map of a diagramm. In: Proceedings of Compugraphics 1991, pp. 24–33 (1991)Google Scholar