Abstract
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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Gaertler, M., & Wagner, D. (2006). A hybrid model for drawing dynamic and evolving graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3843 LNCS, pp. 189–200). https://doi.org/10.1007/11618058_18
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