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dc.contributor.authorOkoe, Mershack
dc.contributor.authorJianu, Radu
dc.contributor.authorKobourov, Stephen
dc.date.accessioned2019-10-04T23:38:34Z
dc.date.available2019-10-04T23:38:34Z
dc.date.issued2019-10
dc.identifier.citationOkoe, M., Jianu, R., & Kobourov, S. G. (2018). Node-link or Adjacency Matrices: Old Question, New Insights. IEEE transactions on visualization and computer graphics.en_US
dc.identifier.issn1077-2626
dc.identifier.pmid30130228
dc.identifier.doi10.1109/TVCG.2018.2865940
dc.identifier.urihttp://hdl.handle.net/10150/634672
dc.description.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.en_US
dc.description.sponsorshipNSFNational Science Foundation (NSF) [CCF-1740858, CCF-1712119]en_US
dc.language.isoenen_US
dc.publisherIEEE COMPUTER SOCen_US
dc.rights© 2018 IEEE.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectevaluationen_US
dc.subjectuser studyen_US
dc.subjectgraphsen_US
dc.subjectnetworksen_US
dc.subjectnode-linken_US
dc.subjectadjacency matricesen_US
dc.titleNode-Link or Adjacency Matrices: Old Question, New Insightsen_US
dc.typeArticleen_US
dc.identifier.eissn1941-0506
dc.contributor.departmentUniv Arizonaen_US
dc.identifier.journalIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSen_US
dc.description.collectioninformationThis 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 repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleIEEE transactions on visualization and computer graphics
refterms.dateFOA2019-10-04T23:38:35Z


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