Edge concentration: a method for clustering directed graphs
SCM '89 Proceedings of the 2nd International Workshop on Software configuration management
Visualization of mobile object environments
SoftVis '05 Proceedings of the 2005 ACM symposium on Software visualization
Drawing bipartite graphs as anchored maps
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Visualizing large and clustered networks
GD'06 Proceedings of the 14th international conference on Graph drawing
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Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is available to us has increased dramatically in recent years, and it is therefore necessary to develop a drawing technique that corresponds to large-scale graphs. In this paper, we describe drawing methods to make large-scale bipartite graphs easy to read. We propose two techniques: "node contraction drawing," which involves collecting similar nodes and drawing them as one node, and "isosimilarity contour drawing," which puts clusters into an outlined area. We developed interactive user interfaces for the drawing methods and conducted an evaluation experiment to demonstrate the effectiveness of the proposed techniques.