A Visualization Framework and User Studies for Overloaded Orthogonal Drawings
No Thumbnail Available
Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
© 2018 The Eurographics Association and John Wiley & Sons Ltd.
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.
Description
@article{10.1111:cgf.13266,
journal = {Computer Graphics Forum},
title = {{A Visualization Framework and User Studies for Overloaded Orthogonal Drawings}},
author = {Didimo, Walter and Kornaropoulos, Evgenios M. and Montecchiani, Fabrizio and Tollis, Ioannis G.},
year = {2018},
publisher = {© 2018 The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13266}
}