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    Atomic Embeddability, Clustered Planarity, and Thickenability

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    SODA20-paper514.pdf
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    Author
    Fulek, Radoslav
    Tóth, Csaba D.
    Affiliation
    Univ Arizona, Dept Comp Sci
    Issue Date
    2020-12-23
    
    Metadata
    Show full item record
    Publisher
    Society for Industrial and Applied Mathematics
    Citation
    Fulek, R., & Tóth, C. D. (2020). Atomic embeddability, clustered planarity, and thickenability. In Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (2876–2895). Society for Industrial and Applied Mathematics.
    Journal
    PROCEEDINGS OF THE THIRTY-FIRST ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS (SODA'20)
    Rights
    Copyright © 2020. Copyright for this paper is retained by authors.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We study the atomic embeddability testing problem, which is a common generalization of clustered planarity (c-planarity, for short) and thickenability testing, and present a polynomial time algorithm for this problem, thereby giving the first polynomial time algorithm for c-planarity. C-planarity was introduced in 1995 by Feng, Cohen, and Eades as a variant of graph planarity, in which the vertex set of the input graph is endowed with a hierarchical clustering and we seek an embedding (crossing free drawing) of the graph in the plane that respects the clustering in a certain natural sense. Until now, it has been an open problem whether c-planarity can be tested efficiently, despite relentless efforts. The thickenability problem for simplicial complexes emerged in the topology of manifolds in the 1960s. A 2-dimensional simplicial complex is thickenable if it embeds in some orientable 3-dimensional manifold. Recently, Carmesin announced that thickenability can be tested in polynomial time. Our algorithm for atomic embeddability combines ideas from Carmesin's work with algorithmic tools previously developed for weak embeddability testing. We express our results purely in terms of graphs on surfaces, and rely on the machinery of topological graph theory. Finally we give a polynomial-time reduction from c-planarity to thickenability and show that a slight generalization of atomic embeddability to the setting in which clusters are toroidal graphs is NP-complete.
    DOI
    10.1137/1.9781611975994.175
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1137/1.9781611975994.175
    Scopus Count
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