NVSS: Network Visualization by Semantic Substrates |
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NVSS 1.0 (Network Visualization by Semantic Substrates) enables users to specify regions to place nodes, and then control over link visibility. (Left Figure) With all CITES boxes checked, there are 260 black Supreme to Supreme citations and 89 red Circuit to Supreme citations. Users can limit the links by source and target regions of interest. For example, in the left figure, links are limited to Supreme to Circuit and Circuit to Circuit links, where the single brown Supreme to Circuit citation is apparent and the 18 green Circuit to Circuit citations are mostly visible. (Right figure) Limiting the selected Circuit Court cases to the two in 1990-1991 generates a comprehensible display of the 18 red Supreme Court citations and the 2 green Circuit Court citations.
Aleks Aris, Ph.D. Candidate, Computer Science
Ben Shneiderman, Professor, Computer Science
Aris, A. and Shneiderman, B., A Node Aggregation Strategy to Reduce Complexity of Network Visualizaton using Semantic Substrates,
HCIL Technical Report, HCIL-2008-10, University of Maryland, 1-8, 2008.Aris, A. and Shneiderman, B., Designing Semantic Substrates for Visual Network Exploration, Information Visualization 6(4), 281-300, 2007.
HCIL Technical Report, HCIL-2007-27.Shneiderman, B. and Aris, A., Network Visualization by Semantic Substrates, (Proceedings of IEEE Visualization/Information Visualization) IEEE Transactions on Visualization and Computer Graphics 12(5), 733-740, 2006.
HCIL Technical Report, HCIL-2006-19. [link at IEEExplore]
B. Shneiderman and A. Aris (November 2006). Network Visualization by Semantic Substrates. [html] [ppt]
A. Aris and B. Shneiderman (2006). Network Visualization by Semantic Substrates. [ppt]
B. Shneiderman and A. Aris (2006). Network Visualization by Semantic Substrates. [mpg]
At this time, NVSS is available only to our collaborators. Contact us if you have a dataset, a problem, and interested in solving a problem by exploring the dataset you have. See also below.
See the NVSS User Manual for details.
Cited at: Christopher Collins, Sheelagh Carpendale. VisLink: Revealing Relationships Amongst Visualizations. Technical Report 2007-866-18. Dept. of Computer Science, University of Calgary, Canada.
Cited at: Bongshin Lee, Catherine Plaisant, Cynthia Sims Parr, Jean-Daniel Fekete, Nathalie Henry. Task taxonomy for graph visualization. Proc. of the 2006 AVI Workshop on BEyond time and errors: novel evaluation methods for information visualization, 1-5, 2006.
Cited at: Nathalie Henry, Jean-Daniel Fekete, Michael J. McGuffin. NodeTrix: Hybrid Representation for Analyzing Social Networks. INRIA Technical Report, 21 June 2007.
Mentioned at (pg.66): John Stasko. Graph and Network Visualization, Georgia Institute of Technology
Mentioned at Blog entry: Graph Visualization is Difficult, but is it Useful?
Mentioned at: Harry Hochheiser. Networks and Graphs: Network Visualization by Semantic Substrate, etc. Visual Analytics. In Course Notes of (COSC 686) Computer Graphics: Information Visualization, Towson University, Spring 2007.
Mentioned at Blog entry: Review: Talk on Human Computer Interaction
Included at: CSAIL Group's Reading List of User Interface Design at MIT
Included at: Readings of a course taught at Technion, Israel
Included at: Christopher Collins. Reading List. University of Toronto, August 16, 2007.
We are looking for network datasets with node attributes to visualize and explore. Please let us know if you have datasets that you would like to share or collaborate with us to explore them, make inferences, test hypothesis, etc. We will be happy to hear from you. Please send an email to aris "AT" cs.umd.edu and CC to ben "AT" cs.umd.edu. Thanks!Also, if you have any ideas, feedback, comments, suggestions, or thoughts for the research and work we are doing, please feel free to let us know.
Graph Visualization
HCIL Network Visualization Data File Format - version 1
The U.S. National Science Foundation grant "Inter-Court Relations in the American Legal System: Using New Technologies to Examine Communication of Precedent II" provided partial support for this research.