Case Study: Visualizing Visualization
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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.
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[2] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[3] Andreas Noack,et al. An Energy Model for Visual Graph Clustering , 2003, GD.