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A tale of two tools (NVSS and VisLink )

A tale of two tools (NVSS and VisLink ). Shreya Rawal. Network Visualization by Semantic Substrates (Ben Shneiderman and Aleks Aris ). Some problems in node-link diagram. Node Occlusion Edge Crossing Edge Tunneling under nodes. How to define semantic substrates?.

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A tale of two tools (NVSS and VisLink )

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  1. A tale of two tools (NVSS and VisLink) Shreya Rawal

  2. Network Visualization by Semantic Substrates(Ben Shneiderman and AleksAris)

  3. Some problems in node-link diagram • Node Occlusion • Edge Crossing • Edge Tunneling under nodes

  4. How to define semantic substrates? • Group nodes into regions According to one attribute Categorical, ordinal, etc. • In each region: Place nodes according to the remaining attribute(s) • Give users the control of link visibility

  5. Dataset • Court Cases (Nodes) • Supreme Court Cases • Circuit Court Cases • Citation of one case by another (Links) • Within the same court (Circuit to Circuit and so on) • Within the different court (Circuit to Supreme and so on)

  6. Force Directed Layout 36 Supreme & 13 Circuit Court decisions368 citations on Regulatory Takings 1978-2002 Arranged in chronological order from left to right

  7. Force Directed Layout 36 Supreme & 13 Circuit Court decisions368 citations on Regulatory Takings 1978-2002 Arranged in chronological order from left to right

  8. NVSS 1.0 Supreme court cases Circuit court cases

  9. Filtering links by source-target Check boxes for filtering the data

  10. Filtering links by time (per year) Slider for filtering by time

  11. Three Regions • Links from District Courts • Indicates longevity of cases (short to long) • District • Circuit • Supreme

  12. NVSS Scalability • 1280x1024 • 1,122 nodes • 7,645 links

  13. Analysis of Paraiso Manifesto using NVSS Towers on the Island Edges joining a call of specific duration to the corresponding tower Calls arranged by duration and days

  14. Analysis of social network: Call Analysis for 1st Day

  15. Analysis of social network: Comparison of long vs.short duration calls Short Duration Call Long Duration Call

  16. VisLink: Revealing Relationships Amongst Visualizations(Christopher Collins and SheelaghCarpendale)

  17. VisLink • A method by which visualizations and the relationships between them can be interactively explored.

  18. Compare multiple visualizations Same dataset but different visualizations Using different datasets and different visualization techniques

  19. Theory behind VisLink (1) VisLink: 3D space within which any number of 2D semi-transparent visualization planes are positioned.

  20. Theory Behind VisLink (2) Two individual visualizations Required Visualization

  21. Visualization of Lexical Data Radial hyponymy graph hyponymy relationship: {lawyers, attorney} IS-A {job, occupation} Force directed layout for similar clustering on words (alphabetically) Do some sets of synonyms contain high concentration of orthographically (alphabetically) similar words?

  22. Widget Interaction: VisLink • Book Pages Rotation • Center accordion translation • Garage door rotation Visualization planes are independently manipulated with three widgets.

  23. 3-D Navigation

  24. Example • Treemap showing occupations of the members of Congress before elections • Scatterplot of individual fundraising success • arranged alphabetically by states • party by the color of nodes • running for House or Senate by shape • Geographic map of zipcode

  25. Where did the most successful fundraising journalist get elected?

  26. Semantic Substrate vs. VisLink

  27. Comparison between NVSS and VisLink (1) • Similarities: • Both dealt with multiple visualizations • (on the same/multiple dataset or on the subsets of the same dataset). • Both focused on large amount of data. • Both used user interaction for filtering data to extract maximum information.

  28. Comparison between NVSS and VisLink (2) • Constraint: • You cannot apply the concept of NVSS unless you have dataset which can be logically sub-divisible.

  29. My Project: • Traces files generated by large-scale applications written in Erlang (CouchDB, Yaws, etc.). • Main components of data • Processes • Process communication (message send and message receive) • Process spawning • Timestamp

  30. Issues!!! • Is using multiple visualization solution to deal with more amount of data? • Big picture vs. Filtered Data? • 2D vs. 3D? • VisLink: a very effective use of 3rd dimension.

  31. References: • Aris, A. 2006. Network Visualization by Semantic Substrates. IEEE Transactions on Visualization and Computer Graphics 12, 5 (Sep. 2006), 733-740. • Carpendale, S. 2007. VisLink: Revealing Relationships Amongst Visualizations. IEEE Transactions on Visualization and Computer Graphics 13, 6 (Nov. 2007), 1192-1199. • Aris, A. and Shneiderman, B. 2007. Designing semantic substrates for visual network exploration. Information Visualization 6, 4 (Dec. 2007), 281-300. • Aris, A. and Vulleot, R. Visual Analysis of the Paraiso Manifesto by Symantic Substrate. • http://www.cs.umd.edu/hcil/nvss/#presentations • (Last visited on March 2, 2009) • http://www.cs.toronto.edu/~ccollins/research/VisLink/flash/index.html • (Last visited on March 2, 2009)

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