A Visualization Framework and User Studies for Overloaded Orthogonal Drawings
dc.contributor.author | Didimo, Walter | en_US |
dc.contributor.author | Kornaropoulos, Evgenios M. | en_US |
dc.contributor.author | Montecchiani, Fabrizio | en_US |
dc.contributor.author | Tollis, Ioannis G. | en_US |
dc.contributor.editor | Chen, Min and Benes, Bedrich | en_US |
dc.date.accessioned | 2018-04-05T12:48:41Z | |
dc.date.available | 2018-04-05T12:48:41Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Overloaded orthogonal drawing (OOD) is a recent graph visualization style specifically conceived for directed graphs. It merges the advantages of some popular drawing conventions like layered drawings and orthogonal drawings, and provides additional support for some common analysis tasks. We present a visualization framework called , which implements algorithms and graphical features for the OOD style. Besides the algorithm for acyclic digraphs, the DAGView framework implements extensions to visualize both digraphs with cycles and undirected graphs, with the additional possibility of taking into account user preferences and constraints. It also supports an interactive visualization of clustered digraphs, based on the use of strongly connected components. Moreover, we describe an experimental user study, aimed to investigate the usability of OOD within the DAGView framework. The results of our study suggest that OOD can be effectively exploited to perform some basic tasks of analysis in a faster and more accurate way when compared to other drawing styles for directed graphs.Overloaded orthogonal drawing (OOD) is a recent graph visualization style specifically conceived for directed graphs. It merges the advantages of some popular drawing conventions like layered drawings and orthogonal drawings, and provides additional support for some common analysis tasks. We present a visualization framework called , which implements algorithms and graphical features for the OOD style. Besides the algorithm for acyclic digraphs, the DAGView framework implements extensions to visualize both digraphs with cycles and undirected graphs, with the additional possibility of taking into account user preferences and constraints. | en_US |
dc.description.number | 1 | |
dc.description.sectionheaders | Articles | |
dc.description.seriesinformation | Computer Graphics Forum | |
dc.description.volume | 37 | |
dc.identifier.doi | 10.1111/cgf.13266 | |
dc.identifier.issn | 1467-8659 | |
dc.identifier.pages | 288-300 | |
dc.identifier.uri | https://doi.org/10.1111/cgf.13266 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13266 | |
dc.publisher | © 2018 The Eurographics Association and John Wiley & Sons Ltd. | en_US |
dc.subject | user studies | |
dc.subject | interaction | |
dc.subject | information visualization | |
dc.subject | visualization | |
dc.subject | human–computer interfaces | |
dc.subject | interaction | |
dc.subject | H.5.2 [INFORMATION SYSTEMS APPLICATIONS]: User Interfaces Graphical user interfaces (GUI); I.3.5 [COMPUTER GRAPHICS]: Computational Geometry and Object Modeling Geometric algorithms | |
dc.subject | languages | |
dc.subject | and systems; G.2.2 [DISCRETE MATHEMATICS]: Graph Theory Graph algorithms | |
dc.title | A Visualization Framework and User Studies for Overloaded Orthogonal Drawings | en_US |