Topological Fisheye Views for Visualizing Large Graphs
IEEE Transactions on Visualization and Computer Graphics
A framework for visual data mining of structures
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Visual Exploration of Complex Time-Varying Graphs
IEEE Transactions on Visualization and Computer Graphics
Analysis of terrorist social networks with fractal views
Journal of Information Science
Human-centered visualization environments
Human-centered visualization environments
PPPA: push and pull pedigree analyzer for large and complex pedigree databases
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
GerbilSphere: Inner sphere network visualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Graph drawing is a basic visualization tool. For graphs of up to hundreds of nodes and edges, there are many effective techniques available. At greater scale, data density and occlusion problems often negate its effectiveness. Conventional pan-and-zoom, and multiscale and geometric fisheye views are not fully satisfactory solutions to this problem. As an alternative, we describe a topological zooming method. It is based on the precomputation of a hierarchy of coarsened graphs, which are combined on-the-fly into renderings with the level of detail dependent on the distance from one or more foci. We also discuss a related distortion method that allows our technique to achieve constant information density displays.