The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Visual Exploration of Complex Time-Varying Graphs
IEEE Transactions on Visualization and Computer Graphics
Visualizing large and clustered networks
GD'06 Proceedings of the 14th international conference on Graph drawing
Visualisation and analysis of large and complex scale-free networks
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Manual clustering refinement using interaction with blobs
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
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We present methods for drawing graphs that arise in various information networks. It has been noted that many realistic graphs have a power law degree distribution and exhibit the small world phenomenon. Our methods are influenced by recent developments in the modeling of such graphs.