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Communication Dans Un Congrès Année : 2012

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]
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EuroSciPy2012-TulipPython.pdf (156.45 Ko) Télécharger le fichier
EuroSciPy2012-TulipPython-Poster.pdf (932.41 Ko) Télécharger le fichier
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Dates et versions

hal-00744969 , version 1 (24-10-2012)

Identifiants

  • HAL Id : hal-00744969 , version 1

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Antoine Lambert, David Auber. Graph analysis and visualization with Tulip-Python. EuroSciPy 2012 - 5th European meeting on Python in Science, Aug 2012, Bruxelles, Belgium. ⟨hal-00744969⟩
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