Visualizing ordered bivariate data on node-link diagrams

Basit Öğe Kaydı
dc.authoridHolliman, Nicolas Steven/0000-0003-4418-4908en_US
dc.authoridAKBULUT, OSMAN/0000-0002-3949-2845en_US
dc.authoridForshaw, Matthew/0000-0001-7014-9837en_US
dc.authoridXin, Tong/0000-0001-5479-262Xen_US
dc.authorscopusid58614335700en_US
dc.authorscopusid57738452500en_US
dc.authorscopusid57285598500en_US
dc.authorscopusid55606562100en_US
dc.authorscopusid6602224478en_US
dc.authorwosidTong, Xin/P-2521-2016en_US
dc.contributor.authorAkbulut, Osman
dc.contributor.authorMclaughlin, Lucy
dc.contributor.authorXin, Tong
dc.contributor.authorForshaw, Matthew
dc.contributor.authorHolliman, Nicolas S.
dc.date.accessioned2024-08-23T16:04:31Z
dc.date.available2024-08-23T16:04:31Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractNode-link visual representation is a widely used tool that allows decision-makers to see details about a network through the appropriate choice of visual metaphor. However, existing visualization methods are not always effective and efficient in representing bivariate graph-based data. This study proposes a novel node-link visual model - visual entropy (Vizent) graph - to effectively represent both primary and secondary values, such as uncertainty, on the edges simultaneously. We performed two user studies to demonstrate the efficiency and effectiveness of our approach in the context of static nodelink diagrams. In the first experiment, we evaluated the performance of the Vizent design to determine if it performed equally well or better than existing alternatives in terms of response time and accuracy. Three static visual encodings that use two visual cues were selected from the literature for comparison: Width-Lightness, Saturation-Transparency, and Numerical values. We compared the Vizent design to the selected visual encodings on various graphs ranging in complexity from 5 to 25 edges for three different tasks. The participants achieved higher accuracy of their responses using Vizent and Numerical values; however, both Width-Lightness and Saturation-Transparency did not show equal performance for all tasks. Our results suggest that increasing graph size has no impact on Vizent in terms of response time and accuracy. The performance of the Vizent graph was then compared to the Numerical values visualization. The Wilcoxon signed-rank test revealed that mean response time in seconds was significantly less when the Vizent graphs were presented, while no significant difference in accuracy was found. The results from the experiments are encouraging and we believe justify using the Vizent graph as a good alternative to traditional methods for representing bivariate data in the context of node-link diagrams.(c) 2023 The Authors. Published by Elsevier B.V. on behalf of Zhejiang University and Zhejiang University (http://creativecommons.org/licenses/by/4.0/).en_US
dc.description.sponsorshipMinistry of National Education, Turkeyen_US
dc.description.sponsorshipWe thank the Ministry of National Education, Turkey for financially supporting the first author's PhD study at Newcastle University, UK.en_US
dc.identifier.doi10.1016/j.visinf.2023.06.003
dc.identifier.endpage36en_US
dc.identifier.issn2468-502X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85171992867en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage22en_US
dc.identifier.urihttps://doi.org/10.1016/j.visinf.2023.06.003
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14246
dc.identifier.volume7en_US
dc.identifier.wosWOS:001083574100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofVisual Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBivariate network visualizationen_US
dc.subjectEdge visualizationen_US
dc.subjectUncertainty visualizationen_US
dc.subjectNode-link diagramen_US
dc.subjectQuantitative evaluationen_US
dc.subjectOf-The-Arten_US
dc.subjectUncertaintyen_US
dc.subjectSearchen_US
dc.subjectGraphsen_US
dc.subjectColoren_US
dc.subjectEdgesen_US
dc.subjectUseren_US
dc.titleVisualizing ordered bivariate data on node-link diagramsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu