Visualizing Dynamic Networks with Matrix Cubes

Abstract : Designing visualizations of dynamic networks is challenging, both because the data sets tend to be complex and because the tasks associated with them are often cognitively demand­ ing. We introduce the Matrix Cube, a novel visual representa­ tion and navigation model for dynamic networks, inspired by the way people comprehend and manipulate physical cubes. Users can change their perspective on the data by rotating or decomposing the 3D cube. These manipulations can produce a range of different 2D visualizations that emphasize specific aspects of the dynamic network suited to particular analysis tasks. We describe Matrix Cubes and the interactions that can be performed on them in the Cubix system. We then show how two domain experts, an astronomer and a neurologist, used Cubix to explore and report on their own network data.
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Communication dans un congrès
Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems (CHI 2014), Apr 2014, Toronto, Canada. ACM, pp.877-886, 2014, 〈10.1145/2556288.2557010〉
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Contributeur : Benjamin Bach <>
Soumis le : jeudi 16 janvier 2014 - 11:55:29
Dernière modification le : jeudi 9 février 2017 - 15:47:25

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Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete. Visualizing Dynamic Networks with Matrix Cubes. Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems (CHI 2014), Apr 2014, Toronto, Canada. ACM, pp.877-886, 2014, 〈10.1145/2556288.2557010〉. 〈hal-00931911v2〉

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