http://graphexploration.cond.org/
GUESS is an exploratory data analysis and visualization tool for graphs and networks. The system contains a domain-specific embedded language called Gython (an extension of Python, or more specifically Jython) which supports the operators and syntactic sugar necessary for working on graph structures in an intuitive manner. An interactive interpreter binds the text that you type in the interpreter to the objects being visualized for more useful integration. GUESS also offers a visualization front end that supports the export of static images and dynamic movies.
Example of guess :
Netflix Visualization
http://www.flickr.com/photos/chef_ele/sets/72157600111346295/
Project Description:
As part of the Netflix Prize competition, chef-ele has created a computer algorithm that can show different clusters of movies within the Netflix database. Chef-ele has used the open-source graph visualization package GUESS for most of his visualizations.
As he explains: "To generate those graphs I basically calculated the full movie-movie correlation matrix, using a straight Pearson correlation with Fisher confidence interval correction & a few other tweaks. Then my program writes a textfile of node & edge definitions, which GUESS reads in. Each movie is a node in the graph, with a label (movie title). The lines/edges connect each movie with the one most similar neighbor movie (in the Fisher/Pearson sense). (...) The graphs I did make show some very reasonable clusters. Some movies -- especially those in series & sequels -- have stronger / larger clusters (such as Friday the 13th sequels the 'Friends' TV series, everything Star-Trek related, etc). But clusters around 'themes' (kids movies, shoot-em-ups, etc.) were also found by the algorithm & seem pretty clear."
| Source | Eythan Adar |
| Difficulty | Unknown |
| Compatibility | PC. Java required. |
| Rating | 2 |
| Language | en |
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