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Evaluating overall quality of dynamic network visualizations
conference contribution
posted on 2023-05-23, 11:36 authored by Huang, W, Zhu, M, Huang, ML, Duh, HB-LVisualizing dynamic networks is a challenging task. One of the challenges we face is how to maintain visual complexity and overall quality of visualizations at a reasonable and sustainable level so that the information about the network embedded in the visualization can be effectively comprehended by the viewer. Many techniques and algorithms have been proposed and developed to facilitate the discovery of changing patterns. Much research has also been done in investigating how visualization should be constructed to be effective. However, how to measure and compare the quality of visualizations of a changing network at different time points has not been well researched. In this paper, we report on a preliminary work towards this direction. In particular, we apply an existing multi-dimensional overall quality measure in a user study data of different networks and found that the measured quality is positively correlated with user task performance regardless of network size.
History
Publication title
Lecture Notes in Computer Science 9929: Proceedings of the 13th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2016)Editors
Y LuoPagination
157-162ISBN
978-3-319-46770-2Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
New York, USAEvent title
13th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2016)Event Venue
Sydney, AustraliaDate of Event (Start Date)
2016-10-24Date of Event (End Date)
2016-10-27Rights statement
Copyright 2016 Springer International PublishingRepository Status
- Restricted