Visualizing Dynamic Networks with Matrix Cubes

Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 representation 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.
Original languageEnglish
Title of host publicationProceedings of the SIGCHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY, USA
PublisherACM
Pages877-886
Number of pages10
ISBN (Print)978-1-4503-2473-1
DOIs
Publication statusPublished - 1 May 2014

Publication series

NameCHI '14
PublisherACM

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