On the faithfulness of graph visualizations
Quan Nguyen, Peter Eades, Seok‐Hee Hong · 2013
Readability criteria have been commonly used to measure the quality of graph visualizations. In this paper we argue that readability criteria, while necessary, are not sufficient. We propose a new kind of criterion, generically termed faithfulness, for evaluating graph layout methods. We propose a general model for quantifying faithfulness, and contrast it with the well established readability criteria. We use examples of multidimensional scaling, edge bundling and several other visualization metaphors (including matrix-based and map-based visualizations) to illustrate faithfulness.