Evaluating Overall Quality of Dynamic Network Visualizations
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.
KeywordsCooperative visualization Quality metrics Evaluation Visualization Dynamic networks
- 1.Janicke, H., Chen, M.: A salience-based quality metric for visualization. In: Proceedings ofthe 12th Eurographics/IEEE - VGTC Conference on Visualization (EuroVis 2010), pp. 1183–1192 (2010)Google Scholar
- 8.Bender-deMoll, S., McFarland, D.: The art and science of dynamic network visualization. J. Soc. Struct. 7(2) (2006)Google Scholar
- 12.Diehl, S., Gorg, C., Kerren, A.: Preserving the mental map using foresighted layout. In: VisSym, pp. 175–184 (2001)Google Scholar