An algorithm for drawing general undirected graphs
Information Processing Letters
Graph drawing by force-directed placement
Software—Practice & Experience
Toolglass and magic lenses: the see-through interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
The movable filter as a user interface tool
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Nonlinear Magnification Fields
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Matrix Zoom: A Visual Interface to Semi-External Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Dynamic Visualization of Graphs with Extended Labels
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
The plot, the clutter, the sampling and its lens: occlusion measures for automatic clutter reduction
Proceedings of the working conference on Advanced visual interfaces
Generating Graphs for Visual Analytics through Interactive Sketching
IEEE Transactions on Visualization and Computer Graphics
Graph Signatures for Visual Analytics
IEEE Transactions on Visualization and Computer Graphics
Network Visualization by Semantic Substrates
IEEE Transactions on Visualization and Computer Graphics
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Designing semantic substrates for visual network exploration
Information Visualization
EdgeLens: an interactive method for managing edge congestion in graphs
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Extreme visualization: squeezing a billion records into a million pixels
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ManyNets: an interface for multiple network analysis and visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual analysis of dynamic data streams
Information Visualization
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We present an information visualization tool, known as GreenMax, to visually explore large small-world graphs with up to a million graph nodes on a desktop computer. A major motivation for scanning a small-world graph in such a dynamic fashion is the demanding goal of identifying not just the well-known features but also the unknown-known and unknown-unknown features of the graph. GreenMax uses a highly effective multilevel graph drawing approach to pre-process a large graph by generating a hierarchy of increasingly coarse layouts that later support the dynamic zooming of the graph. This paper describes the graph visualization challenges, elaborates our solution, and evaluates the contributions of GreenMax in the larger context of visual analytics on large small-world graphs. We report the results of two case studies using GreenMax and the results support our claim that we can use GreenMax to locate unexpected features or structures behind a graph.