BigSee
TimeRadarTrees
www.visualcomplexity.com/vc/project_details.cfm?index=652...
The TimeRadarTrees visualization technique can be used to represent weighted dynamic compound digraphs, which express a sequence of directed and weighted graphs where the nodes correspond to leaves in a hierarchy.
The TimeRadarTrees approach shows the information hierarchy as a traditional node-link diagram, but in a radial style. Each graph is represented as a slice on the inner circle and corresponding slices on the smaller outer circles, which we call thumbnails. The inner circle shows the incoming edges, the thumbnails represent the outgoing edges. Many interaction features as well as smooth animation help the user to explore a given data set. Filter functions as well as detail-on-demand per mouse tooltips are also integrated.
The visualization is a novel dynamic graph representation and innovative in a way that it eliminates all visual clutter that is caused by edge crossings. Moreover, it is able to concurrently visualize a whole sequence of graphs and, by the way, creates very aesthetical images.
TimeRadarTrees
www.visualcomplexity.com/vc/project_details.cfm?index=652...
The TimeRadarTrees visualization technique can be used to represent weighted dynamic compound digraphs, which express a sequence of directed and weighted graphs where the nodes correspond to leaves in a hierarchy.
The TimeRadarTrees approach shows the information hierarchy as a traditional node-link diagram, but in a radial style. Each graph is represented as a slice on the inner circle and corresponding slices on the smaller outer circles, which we call thumbnails. The inner circle shows the incoming edges, the thumbnails represent the outgoing edges. Many interaction features as well as smooth animation help the user to explore a given data set. Filter functions as well as detail-on-demand per mouse tooltips are also integrated.
The visualization is a novel dynamic graph representation and innovative in a way that it eliminates all visual clutter that is caused by edge crossings. Moreover, it is able to concurrently visualize a whole sequence of graphs and, by the way, creates very aesthetical images.