Identifying Cluttering Edges in Near-Planar Graphs

Publication date

2023

Authors

van Wageningen, S.ORCID 0000-0002-0346-5597ISNI 0000000527855743
Mchedlidze, TamaraISNI 0000000506846020
Telea, AlexORCID 0000-0003-0750-0502ISNI 0000000041071164

Editors

Hoellt, Thomas
Aigner, Wolfgang
Wang, Bei

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

cc_by

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.

Keywords

graph drawing, planarity, beyond planarity, heuristic

Citation

van Wageningen, S, Mchedlidze, T & Telea, A 2023, Identifying Cluttering Edges in Near-Planar Graphs. in T Hoellt, W Aigner & B Wang (eds), EuroVis 2023 - Short Papers. The Eurographics Association. https://doi.org/10.2312/evs.20231048