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Exploring InfoVis Publication History with Tulip

Exploring InfoVis Publication History with Tulip. Maylis Delest, LaBRI Bordeaux Tamara Munzner, UBC David Auber, LaBRI Bordeaux Jean-Philippe Domenger, LaBRI Bordeaux. Tulip. graph drawing testbed scalable powerful flexible functionality clustering layout interaction

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Exploring InfoVis Publication History with Tulip

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  1. Exploring InfoVis Publication History with Tulip Maylis Delest, LaBRI Bordeaux Tamara Munzner, UBC David Auber, LaBRI Bordeaux Jean-Philippe Domenger, LaBRI Bordeaux

  2. Tulip • graph drawing testbed • scalable • powerful • flexible • functionality • clustering • layout • interaction • guaranteed frame rate rendering

  3. Finding GGR: interactively move

  4. Reachable subgraph 1 hop: papers

  5. Reachable subgraph 2 hops: citers

  6. Convolution Clustering • visually determine best number of clusters • Strahler based graph clustering using convolution.David Auber, Maylis Delest, and Yves Chiricota.8th Int'l IEEE Conference on Information Visualisation, London, 2004 • clusters quite stable, show off core topics • Strahler metric measures "centrality"

  7. Cluster 1: PARC/Furnas, F+C

  8. Cluster 2: Dynamic Queries, Tufte

  9. Cluster 3: Focus+Context

  10. Cluster 4: ZUIs, high dim, brushing

  11. Cluster 5: everything else

  12. Core Clutter with Auth-Conf

  13. Small-World Clustering

  14. Recursively Cluster

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