Splitting Vertices in 2-Layer Graph Drawings

Bipartite graphs model the relationships between two disjoint sets of entities in several applications and are naturally drawn as 2-layer graph drawings. In such drawings, the two sets of entities (vertices) are placed on two parallel lines (layers), and their relationships (edges) are represented b...

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Veröffentlicht in:IEEE computer graphics and applications. - 1991. - 43(2023), 3 vom: 06. Mai, Seite 24-35
1. Verfasser: Ahmed, Reyan (VerfasserIn)
Weitere Verfasser: Angelini, Patrizio, Bekos, Michael A, Battista, Giuseppe Di, Kaufmann, Michael, Kindermann, Philipp, Kobourov, Stephen, Nollenburg, Martin, Symvonis, Antonios, Villedieu, Anais, Wallinger, Markus
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE computer graphics and applications
Schlagworte:Journal Article
Beschreibung
Zusammenfassung:Bipartite graphs model the relationships between two disjoint sets of entities in several applications and are naturally drawn as 2-layer graph drawings. In such drawings, the two sets of entities (vertices) are placed on two parallel lines (layers), and their relationships (edges) are represented by segments connecting vertices. Methods for constructing 2-layer drawings often try to minimize the number of edge crossings. We use vertex splitting to reduce the number of crossings, by replacing selected vertices on one layer by two (or more) copies and suitably distributing their incident edges among these copies. We study several optimization problems related to vertex splitting, either minimizing the number of crossings or removing all crossings with fewest splits. While we prove that some variants are ${\mathsf {NP}}$NP-complete, we obtain polynomial-time algorithms for others. We run our algorithms on a benchmark set of bipartite graphs representing the relationships between human anatomical structures and cell types
Beschreibung:Date Completed 18.05.2023
Date Revised 31.10.2023
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1558-1756
DOI:10.1109/MCG.2023.3264244