Complexity
Management Techniques in Graph Visualization Cntd.
- Abstract: Frequently, application graphs are too large to visualize and
details become obscured. Strategies to conceal the "unwanted"
details of a graph, allowing one to temporarily remove certain nodes and
edges and subsequently reintroduce the removed details. The project
involves research and development of complexity management techniques in
graph visualization such as hiding, folding, and nesting to be used in a
commercial product.
- Keywords: Graph visualization, graph
layout, graph algorithms, software engineering.
- Duration: 6 months (May 01 - October
01).
- Principle
Investigator: Asst.
Prof. Ugur Dogrusoz.
- Researchers:
Burkay Genc, Erhan
Meric, Erdinc Basci.
- Sponsor: Tom Sawyer Software, Oakland, CA.
- Budget: $35,900.
See our poster
on the project.