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Scalability Considerations for Multivariate Graph Visualization

Abstract : Real-world, multivariate datasets are frequently too large to show in their entirety on a visual display. Still, there are many techniques we can employ to show useful partial views-sufficient to support incremental exploration of large graph datasets. In this chapter, we first explore the cognitive and architectural limitations which restrict the amount of visual bandwidth available to multivariate graph visualization approaches. These limitations afford several design approaches, which we systematically explore. Finally, we survey systems and studies that exhibit these design strategies to mitigate these perceptual and architectural limitations.
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Contributor : Céline Smith Connect in order to contact the contributor
Submitted on : Tuesday, October 28, 2014 - 4:17:04 PM
Last modification on : Tuesday, October 19, 2021 - 11:02:47 AM

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T. J. Jankun-Kelly, Tim Dwyer, Danny Holten, Christophe Hurter, Martin Nöllenburg, et al.. Scalability Considerations for Multivariate Graph Visualization. Multivariate Network Visualization : Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions, Part II, 8380, Springer, pp 207-235, 2013, Lecture Notes in Computer Science, 978-3-319-06792-6. ⟨10.1007/978-3-319-06793-3_10⟩. ⟨hal-01078325⟩



Les métriques sont temporairement indisponibles