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

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

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

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 4

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) 5

6. Force Directed Layout 36 Supreme & 13 Circuit Court decisions 368 citations on Regulatory Takings 1978-2002 6 Arranged in chronological order from left to right

7. Force Directed Layout 36 Supreme & 13 Circuit Court decisions 368 citations on Regulatory Takings 1978-2002 7 Arranged in chronological order from left to right

8. NVSS 1.0 8 Supreme court cases Circuit court cases

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

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

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

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

13. Analysis of Paraiso Manifesto using NVSS 13 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 1 st Day 14

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

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

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

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

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

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

21. Visualization of Lexical Data 21 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 22 Visualization planes are independently manipulated with three widgets.

23. 3-D Navigation 23

24. Example 24 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. 25 Where did the most successful fundraising journalist get elected ?

26. Semantic Substrate vs. VisLink 26

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. 27

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. 28

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 29

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 3 rd dimension. 30

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) 31