Symmetry is often considered a desirable feature of diagrams. However, quantifying the exact amount of symmetry present is often difficult. We propose a novel symmetry metric that can score the amount of rotational, translational, and reflective symmetry present in a graph or line diagram.
CITATION STYLE
Klapaukh, R., Marshall, S., & Pearce, D. (2018). A symmetry metric for graphs and line diagrams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10871 LNAI, pp. 739–742). Springer Verlag. https://doi.org/10.1007/978-3-319-91376-6_71
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