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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
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Upward Book Embeddings of st-Graphs

Authors: Binucci C.; Da Lozzo G.; Di Giacomo E.; Didimo W.; Mchedlidze T.; Patrignani M.;

Upward Book Embeddings of st-Graphs

Abstract

We study $k$-page upward book embeddings ($k$UBEs) of $st$-graphs, that is, book embeddings of single-source single-sink directed acyclic graphs on $k$ pages with the additional requirement that the vertices of the graph appear in a topological ordering along the spine of the book. We show that testing whether a graph admits a $k$UBE is NP-complete for $k\geq 3$. A hardness result for this problem was previously known only for $k = 6$ [Heath and Pemmaraju, 1999]. Motivated by this negative result, we focus our attention on $k=2$. On the algorithmic side, we present polynomial-time algorithms for testing the existence of $2$UBEs of planar $st$-graphs with branchwidth $��$ and of plane $st$-graphs whose faces have a special structure. These algorithms run in $O(f(��)\cdot n+n^3)$ time and $O(n)$ time, respectively, where $f$ is a singly-exponential function on $��$. Moreover, on the combinatorial side, we present two notable families of plane $st$-graphs that always admit an embedding-preserving $2$UBE.

Extended version of "Upward Book Embeddings of st-Graphs", to appear in Proceedings of the 35th International Symposium on Computational Geometry (SoCG 2019)

Countries
Germany, Italy
Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, SPQR-trees, 000 Computer science, knowledge, general works, Sphere-cut Decomposition, st-Graphs, Branchwidth; Sphere-cut Decomposition; SPQR-trees; St-Graphs; Upward Book Embeddings, 004, Branchwidth, Computer Science, Computer Science - Data Structures and Algorithms, Computer Science - Computational Geometry, Data Structures and Algorithms (cs.DS), Upward Book Embeddings, ddc: ddc:004

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citations
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