Identifying Cluttering Edges in Near-Planar Graphs
dc.contributor.author | Wageningen, Simon van | en_US |
dc.contributor.author | Mchedlidze, Tamara | en_US |
dc.contributor.author | Telea, Alexandru | en_US |
dc.contributor.editor | Hoellt, Thomas | en_US |
dc.contributor.editor | Aigner, Wolfgang | en_US |
dc.contributor.editor | Wang, Bei | en_US |
dc.date.accessioned | 2023-06-10T06:34:45Z | |
dc.date.available | 2023-06-10T06:34:45Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Planar drawings of graphs tend to be favored over non-planar drawings. Testing planarity and creating a planar layout of a planar graph can be done in linear time. However, creating readable drawings of nearly planar graphs remains a challenge. We therefore seek to answer which edges of nearly planar graphs create clutter in their drawings generated by mainstream graph drawing algorithms. We present a heuristic to identify problematic edges in nearly planar graphs and adjust their weights in order to produce higher quality layouts with spring-based drawing algorithms. Our experiments show that our heuristic produces significantly higher quality drawings for augmented grid graphs, augmented triangulations, and deep triangulations. | en_US |
dc.description.sectionheaders | Graphs and High-Dimensional Data | |
dc.description.seriesinformation | EuroVis 2023 - Short Papers | |
dc.identifier.doi | 10.2312/evs.20231048 | |
dc.identifier.isbn | 978-3-03868-219-6 | |
dc.identifier.pages | 85-89 | |
dc.identifier.pages | 5 pages | |
dc.identifier.uri | https://doi.org/10.2312/evs.20231048 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evs20231048 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Human-centered computing -> Graph drawings | |
dc.subject | Human centered computing | |
dc.subject | Graph drawings | |
dc.title | Identifying Cluttering Edges in Near-Planar Graphs | en_US |
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