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Graph Visualization cs5764: Information Visualization Chris North
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Where are we? Multi-D 1D 2D 3D Trees Graphs Document collections Design Principles Empirical Evaluation Visual Overviews
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Networks Graph = nodes + edges Nodes and edges have attributes Tabular storage: 1 table for nodes, 1 table for edges Examples: Web, roads, telephone, internet, cpu architecture, travel, document citations Tasks: shortest path, all paths neighbors, degree topology, connected components, sub-graphs Web domain: broken links, navigation, update, sitemap, orientation
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Visualization Approaches Connections (nodes & links) Nodes: –Size, color, shape, location, label, … Links: –Direction, width, color, shape, label, … Other approaches? adjacency matrix, containment, … A C B A
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Yuk
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Challenges Graph layout Scale Navigation Problem: Bowl of spaghetti!
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Graph Layout Styles Straight line Arc Orthogonal
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Aesthetic constraints Minimize link crossings Minimize link lengths Minimize link bends Maximize symmetries …
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Not Trivial
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Common Layout Algorithms Circular Concentric Layering Force directed Clustering Hierarchical clustering Convert to tree Geographic, pre-determined
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Circular Layout
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Radial Layout http://bailando.sims.berkeley.edu/infovis.html
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Force directed layout Springs, gravity, clustering http://java.sun.com/applets/jdk/1.2/demo/applets/GraphLayout/example1.html
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Tree Layout WebSphinx http://www-2.cs.cmu.edu/~rcm/websphinx/workbench.html
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Hyperbolic Layout Munzner, “H3”
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Attribute Value Layout Eick, “SeeNet”
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Scale up
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Multi-Digraphs Korn, “Multi-Digraphs”
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Adjacency Matrix Connex by PNNL
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Hierarchical Aggregation by Feiner 1. Cluster
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2. Group hierarchically Hierarchical Aggregation
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3. Link inheritance
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SHriMP Storey, “SHriMP”
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ThinkMap – Visual Thesaurus http://www.visualthesaurus.com Show only depth 1 from focus node
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Harmony Web Browser by Keith Andrews Show limited depth from focus node
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Harmony Web Landscape 3D
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StarLight http://www.pnl.gov/infoviz/technologies.html#starlight PNL
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