Scalability considerations for multivariate graph visualization
Book chapter
Jankun-Kelly, T., Dwyer, T., Holten, D., Hurter, C., Nollenburg, M., Weaver, C. and Xu, K. 2014. Scalability considerations for multivariate graph visualization. in: Kerren, A., Purchase, H. and Ward, M. (ed.) Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions Springer International Publishing.
Chapter title | Scalability considerations for multivariate graph visualization |
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Authors | Jankun-Kelly, T., Dwyer, T., Holten, D., Hurter, C., Nollenburg, M., Weaver, C. and Xu, K. |
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. |
Keywords | Algorithm Analysis and Problem Complexity, Computer Applications, Data Mining and Knowledge Discovery, Discrete Mathematics in Computer Science, Information Systems and Communication Service |
Book title | Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions |
Editors | Kerren, A., Purchase, H. and Ward, M. |
Publisher | Springer International Publishing |
Series | Lecture Notes in Computer Science |
Publication dates | |
Jan 2014 | |
Publication process dates | |
Deposited | 07 May 2015 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | The final authenticated version is available online at https://doi.org/10.1007/978-3-319-06793-3_10 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-06793-3_10 |
Language | English |
https://repository.mdx.ac.uk/item/85441
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