We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of representation in a single-level visualization rather than abstractions of lower levels of detail. This is useful for non-interactive display and eases dynamic layout, which we address in the online scenario. Our approach is illustrated on a family of large networks featuring all of the above structural characteristics, the physical Internet on the autonomous systems level over time. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Boitmanis, K., Brandes, U., & Pich, C. (2008). Visualizing internet evolution on the autonomous systems level. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4875 LNCS, pp. 365–376). https://doi.org/10.1007/978-3-540-77537-9_36
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