CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical fisheye views of graphs
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
A Multi-dimensional Approach to Force-Directed Layouts of Large Graphs
GD '00 Proceedings of the 8th International Symposium on Graph Drawing
A Simple Algorithm for Drawing Large Graphs on Small Screens
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Graph Drawing by High-Dimensional Embedding
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Techniques for non-linear magnification transformations
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
A high-dimensional approach to interactive graph visualization
Proceedings of the 2004 ACM symposium on Applied computing
Topological Fisheye Views for Visualizing Large Graphs
IEEE Transactions on Visualization and Computer Graphics
An extended high-dimensional method for interactive graph drawing
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
An Experimental Study on Distance-Based Graph Drawing
Graph Drawing
SSDE: fast graph drawing using sampled spectral distance embedding
GD'06 Proceedings of the 14th international conference on Graph drawing
Eigensolver methods for progressive multidimensional scaling of large data
GD'06 Proceedings of the 14th international conference on Graph drawing
Visualization of labeled data using linear transformations
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
SDE: graph drawing using spectral distance embedding
GD'05 Proceedings of the 13th international conference on Graph Drawing
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
On the Schoenberg Transformations in Data Analysis: Theory and Illustrations
Journal of Classification
Robust linear dimensionality reduction
IEEE Transactions on Visualization and Computer Graphics
Two-Way Multidimensional Scaling: A Review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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With shortest-path distances as input, classical multidimensional scaling can be regarded as a spectral graph drawing algorithm, and recent approximation techniques make it scale to very large graphs. In comparison with other methods, however, it is considered inflexible and prone to degenerate layouts for some classes of graphs. We want to challenge this belief by demonstrating that the method can be flexibly adapted to provide focus+context layouts. Moreover, we propose an alternative instantiation that appears to be more suitable for graph drawing and prevents certain degeneracies.