,
Michael Wybrow
,
Helen C. Purchase
Creative Commons Attribution 4.0 International license
Graph drawing aesthetic metrics (angular resolution, edge crossings, stress, and so on) quantify the visual quality of a graph drawing, and recent work has characterised their distributions across large drawing corpora. That analysis takes no account of the structure of the source graphs: the variation between graphs (driven by structural properties of the topology) is collapsed, together with the variation within a graph (driven by the choice of layout algorithm) into a single distribution per metric. This paper accounts for graph structure: for a fixed graph G with specified structural properties, what region of the eleven-dimensional metric-space is reachable, and how does that region depend on the structural properties? We construct a stratified corpus of 89,493 graphs spanning generated families, established benchmarks, real-world networks, and curator-laid-out graphs from the literature, and lay each out with 18 algorithms drawn from the force-directed, layered, orthogonal, and structural families. Each graph’s reachable region is summarised by the minimum, maximum, mean, and range of 11 aesthetic metric values across its drawings. We then analyse drawing-level metric values using structural properties together with a layout-family encoding. This analysis allows us to determine the extent to which a graph’s structural properties and the choice of layout family predict readability metrics, and to identify where graph-level metric ranges suggest structural limits on attainable layout quality. These results are important in setting expectations for graph drawing quality, for optimisation approaches, and for choosing graphs for which a specified layout quality is desirable.
@InProceedings{mooney_et_al:LIPIcs.GD.2026.25,
author = {Mooney, Gavin J. and Wybrow, Michael and Purchase, Helen C.},
title = {{Does Graph Structure Affect Drawing Quality?}},
booktitle = {34th International Symposium on Graph Drawing and Network Visualization (GD 2026)},
pages = {25:1--25:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-452-9},
ISSN = {1868-8969},
year = {2026},
volume = {396},
editor = {L\"{o}ffler, Maarten and Miksch, Silvia},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2026.25},
URN = {urn:nbn:de:0030-drops-279203},
doi = {10.4230/LIPIcs.GD.2026.25},
annote = {Keywords: Graph structure, Graph drawing, Metric landscape, Readability metrics}
}
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