Case Study: Visualizing Visualization

In this case study we attempt to visualize a real-world dataset consisting of 600 recently published information visualization papers and their references. This is done by first creating a global layout of the entire graph that preserves any cluster structure present. We then use this layout as a basis to define a hierarchical clustering. The clusters in this hierarchy are labelled using keywords supplied with the dataset, allowing insight into the clusters semantics. CR Categories: H.5.2 [Information Interfaces and Presentation]: User Interfaces—Graphical User Interfaces; H.2.8 [Database Management]: Database Applications—Data Mining I.5.5 [Pattern Recognition]: Clustering—Algorithms