Visual links across applications
Proceedings of Graphics Interface 2010
Nimble cybersecurity incident management through visualization and defensible recommendations
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Improving revisitation in graphs through static spatial features
Proceedings of Graphics Interface 2011
Fluid Views: a zoomable search environment
Proceedings of the International Working Conference on Advanced Visual Interfaces
Proceedings of the International Working Conference on Advanced Visual Interfaces
Kelp Diagrams: Point Set Membership Visualization
Computer Graphics Forum
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
Visualizing explicit and implicit relations of complex information spaces
Information Visualization - Special issue on Visualization and Data Analysis 2011
Semantic-preservingword clouds by seam carving
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Pathway preserving representation of metabolic networks
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
An interactive visualization interface for studying egocentric, categorical, contact diary datasets
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Visual analysis of set relations in a graph
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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While many data sets contain multiple relationships, depicting more than one data relationship within a single visualization is challenging. We introduce Bubble Sets as a visualization technique for data that has both a primary data relation with a semantically significant spatial organization and a significant set membership relation in which members of the same set are not necessarily adjacent in the primary layout. In order to maintain the spatial rights of the primary data relation, we avoid layout adjustment techniques that improve set cluster continuity and density. Instead, we use a continuous, possibly concave, isocontour to delineate set membership, without disrupting the primary layout. Optimizations minimize cluster overlap and provide for calculation of the isocontours at interactive speeds. Case studies show how this technique can be used to indicate multiple sets on a variety of common visualizations.