Graph analysis and visualization with Tulip-Python
Résumé
Graphs play an important role in many research areas, such as biology, microelectronics, social sciences, data mining, and computer science. Tulip is an information visualization framework dedicated to the analysis and visualization of such relational data. Written in C++ the framework enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations. Introducing Tulip-Python, a set of bindings for the Tulip framework, dedicated to the analysis and visualization of huge graphs. The poster covers the main features offered by the bindings and the benefits derived from their integration into the Tulip software.
Domaines
Autre [cs.OH]
Fichier principal
EuroSciPy2012-TulipPython.pdf (156.45 Ko)
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EuroSciPy2012-TulipPython-Poster.pdf (932.41 Ko)
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Origine | Fichiers produits par l'(les) auteur(s) |
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Format | Autre |
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