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Clustered Planarity with Pipes

Clustered planarity with pipes
Authors: Patrizio Angelini; Giordano Da Lozzo;

Clustered Planarity with Pipes

Abstract

We study the version of the C-Planarity problem in which edges connecting the same pair of clusters must be grouped into pipes, which generalizes the Strip Planarity problem. We give algorithms to decide several families of instances for the two variants in which the order of the pipes around each cluster is given as part of the input or can be chosen by the algorithm.

19 pages, 9 figures, extended version of the paper appeared at ISAAC 2016

Keywords

FOS: Computer and information sciences, clustered planarity, SEFE, simultaneous embeddings with fixed edges, Clustered planarity; Fixed parameter tractability; Graph drawing; Simultaneous embeddings with fixed edges; Computer Science (all); Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics, FPT, Graph Drawing, G.2.2, 004, Clustered Planarity, Planar graphs; geometric and topological aspects of graph theory, graph drawing, fixed parameter tractability, Graph theory (including graph drawing) in computer science, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), 05C10, ddc: ddc:004

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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!
8
Average
Average
Top 10%
Green
hybrid