On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Drawing graphs
On inferring autonomous system relationships in the internet
IEEE/ACM Transactions on Networking (TON)
A Bayesian Paradigm for Dynamic Graph Layout
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
The internet AS-level topology: three data sources and one definitive metric
ACM SIGCOMM Computer Communication Review
Mapping and visualizing the internet
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
Drawing the AS graph in 2.5 dimensions
GD'04 Proceedings of the 12th international conference on Graph Drawing
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
PhylloTrees: phyllotactic patterns for tree layout
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Structural differences between two graphs through hierarchies
Proceedings of Graphics Interface 2009
Visualization of Node Interaction Dynamics in Network Traces
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Difference map readability for dynamic graphs
GD'10 Proceedings of the 18th international conference on Graph drawing
GerbilSphere: Inner sphere network visualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
ImPrEd: an improved force-directed algorithm that prevents nodes from crossing edges
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Clustering, visualizing, and navigating for large dynamic graphs
GD'12 Proceedings of the 20th international conference on Graph Drawing
The "Map" in the mental map: Experimental results in dynamic graph drawing
International Journal of Human-Computer Studies
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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.