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Evaluating overall quality of dynamic network visualizations


Huang, W and Zhu, M and Huang, ML and Duh, HB-L, Evaluating overall quality of dynamic network visualizations, Lecture Notes in Computer Science 9929: Proceedings of the 13th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2016), 24-27 October 2016, Sydney, Australia, pp. 157-162. ISBN 978-3-319-46770-2 (2016) [Refereed Conference Paper]

Copyright Statement

Copyright 2016 Springer International Publishing

DOI: doi:10.1007/978-3-319-46771-9_21


Visualizing 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.

Item Details

Item Type:Refereed Conference Paper
Keywords:information visualization, cooperative visualization, quality metrics, evaluation, visualization, dynamic networks
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
UTAS Author:Duh, HB-L (Professor Henry Duh)
ID Code:112916
Year Published:2016
Web of Science® Times Cited:2
Deposited By:Information and Communication Technology
Deposited On:2016-12-04
Last Modified:2018-01-31

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