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Journal of Graph Algorithms and Applications
Article . 2020 . Peer-reviewed
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Article . 2020
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Article . 2020
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Drawing Clustered Planar Graphs on Disk Arrangements

Drawing clustered planar graphs on disk arrangements
Authors: Tamara Mchedlidze; Marcel Radermacher; Ignaz Rutter; Nina Zimbel;

Drawing Clustered Planar Graphs on Disk Arrangements

Abstract

Let $G=(V, E)$ be a planar graph and let $\mathcal V$ be a partition of $V$. We refer to the graphs induced by the vertex sets in $\mathcal V$ as clusters. Let $\mathcal C_{\mathcal C}$ be an arrangement of pairwise disjoint disks with a bijection between the disks and the clusters. Akitaya et al.[Akytaia et al. SODA 2018] give an algorithm to test whether $(G, \mathcal V)$ can be embedded onto $\mathcal C_{\mathcal C}$ with the additional constraint that edges are routed through a set of pipes between the disks. If such an embedding exists, we prove that every clustered graph and every disk arrangement without pipe-disk intersections has a planar straight-line drawing where every vertex is embedded in the disk corresponding to its cluster. This result can be seen as an extension of the result by Alam et al.[Alam et al. JGAA 2015] who solely consider biconnected clusters. Moreover, we prove that it is $\mathcal{NP}$-hard to decide whether a clustered graph has such a straight-line drawing, if we permit pipe-disk intersections, even if all disks have unit size. This answers an open question of Angelini et al.[Angelini et al. GD 2014].

Countries
Netherlands, Germany
Keywords

ddc:004, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), DATA processing & computer science, Graph representations (geometric and intersection representations, etc.), clusters, straight-line drawing, info:eu-repo/classification/ddc/004, 004, Planar graphs; geometric and topological aspects of graph theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold