MetadataShow full item record
PublisherIEEE COMPUTER SOC
CitationOkoe, M., Jianu, R., & Kobourov, S. G. (2018). Node-link or Adjacency Matrices: Old Question, New Insights. IEEE transactions on visualization and computer graphics.
Rights© 2018 IEEE.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractVisualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary techniques for showing network data: node-link diagrams and adjacency matrices. Specifically, an evaluation with a large number of online participants revealed statistically significant differences between the two visualizations. Our work adds to existing research in several ways. First, we explore a broad spectrum of network tasks, many of which had not been previously evaluated. Second, our study uses two large datasets, typical of many real-life networks not explored by previous studies. Third, we leverage crowdsourcing to evaluate many tasks with many participants. This paper is an expanded journal version of a Graph Drawing (GD'17) conference paper. We evaluated a second dataset, added a qualitative feedback section, and expanded the procedure, results, discussion, and limitations sections.
VersionFinal accepted manuscript
SponsorsNSFNational Science Foundation (NSF) [CCF-1740858, CCF-1712119]
- Compressed Adjacency Matrices: Untangling Gene Regulatory Networks.
- Authors: Dinkla K, Westenberg MA, van Wijk JJ
- Issue date: 2012 Dec
- NodeTrix: a hybrid visualization of social networks.
- Authors: Henry N, Fekete JD, McGuffin MJ
- Issue date: 2007 Nov-Dec
- Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations.
- Authors: Burch M, Ten Brinke KB, Castella A, Peters GKS, Shteriyanov V, Vlasvinkel R
- Issue date: 2021 Sep 7
- RainBio: Proportional Visualization of Large Sets in Biology.
- Authors: Lamy JB, Tsopra R
- Issue date: 2020 Nov
- Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation.
- Authors: Kim YS, Reinecke K, Hullman J
- Issue date: 2018 Jan