Issue No. 01 - January-March (2002 vol. 8)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/2945.981849
<p><b>Abstract</b>—We describe <it>MGV</it>, an integrated visualization and exploration system for massive multidigraph navigation. It adheres to the Visual Information-Seeking Mantra: overview first, zoom and filter, then details on demand. <it>MGV</it>'s only assumption is that the vertex set of the underlying digraph corresponds to the set of leaves of a predetermined tree <tmath>$T$</tmath>. <it>MGV</it> builds an out-of-core graph hierarchy and provides mechanisms to plug in arbitrary visual representations for each graph hierarchy slice. Navigation from one level to another of the hierarchy corresponds to the implementation of a drill-down interface. In order to provide the user with navigation control and interactive response, <it>MGV</it> incorporates a number of visualization techniques like interactive pixel-oriented 2D and 3D maps, statistical displays, color maps, multilinked views, and a zoomable label based interface. This makes the association of geographic information and graph data very natural. To automate the creation of the vertex set hierarchy for MGV, we use the notion of graph sketches. They can be thought of as visual indices that guide the navigation of a multigraph too large to fit on the available display. <it>MGV</it> follows the client-server paradigm and it is implemented in C and Java-3D. We highlight the main algorithmic and visualization techniques behind the tools and, along the way, point out several possible application scenarios. Our techniques are being applied to multigraphs defined on vertex sets with sizes ranging from 100 million to 250 million vertices.</p>
External memory, visualization, massive data sets, graphs, hierarchies.
J. Korn and J. Abello, "MGV: A System for Visualizing Massive Multidigraphs," in IEEE Transactions on Visualization & Computer Graphics, vol. 8, no. , pp. 21-38, 2002.