Featured Research
GMap: An Algorithm for Visualizing Graphs as Maps
GMap is an algorithm for visualizing graphs as maps. Information visualization can be invaluable in making sense out of large data sets. However, traditional graph visualization methods often fail to capture the underlying structural information, clustering, and neighborhoods. GMap, provides a way to overcome some of the shortcomings with the help of the geographic map metaphor. While graphs, charts, and tables often require considerable effort to comprehend, a map representation is more intuitive, as most people are very familiar with maps and even enjoy carefully examining maps. The effectiveness of GMap is illustrated with examples from several domains, namely TV shows, Amazon books, and last.fm music.
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News
| Nov 04 2009: | Dr. Suzanne Westbrook Brings First K-12 Computing Teachers Workshop to Tucson |
| Oct 31 2009: | Two CS Student Teams Place in Top Four of ACM Programming Contest |
| Oct 29 2009: | Rick Snodgrass' work on the science of computing featured by UANews |
| Oct 21 2009: | Christian Collberg's security lecture series featured in UANow |
| Oct 19 2009: | Loren Chea is selected as the Outstanding Senior for Computer Science! |
