Exploring InfoVis Publication History with Tulip
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Exploring InfoVis Publication History with Tulip
Maylis Delest, LaBRI Bordeaux
Tamara Munzner, UBC
David Auber, LaBRI Bordeaux
Jean-Philippe Domenger, LaBRI Bordeaux
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Tulip
• graph drawing testbed– scalable– powerful– flexible
• functionality– clustering– layout – interaction– guaranteed frame rate rendering
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Finding GGR: interactively move
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Reachable subgraph 1 hop: papers
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Reachable subgraph 2 hops: citers
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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"
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Cluster 1: PARC/Furnas, F+C
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Cluster 2: Dynamic Queries, Tufte
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Cluster 3: Focus+Context
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Cluster 4: ZUIs, high dim, brushing
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Cluster 5: everything else
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Core Clutter with Auth-Conf
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Small-World Clustering
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Recursively Cluster