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Theoretical Computer Science
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Theoretical Computer Science
Article . 2008
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Theoretical Computer Science
Article . 2008 . Peer-reviewed
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Drawing Colored Graphs on Colored Points

Authors: Badent M.; DI GIACOMO, Emilio; LIOTTA, Giuseppe;

Drawing Colored Graphs on Colored Points

Abstract

AbstractLet G be a planar graph with n vertices and with a partition of the vertex set into subsets V0,…,Vk−1 for some positive integer 1≤k≤n. Let S be a set of n distinct points in the plane with a partition into subsets S0,…,Sk−1 with ∣Vi∣=∣Si∣ (0≤i≤k−1). This paper studies the problem of computing a planar polyline drawing of G, such that each vertex of Vi is mapped to a distinct point of Si. Lower and upper bounds on the number of bends per edge are proved for any 2≤k≤n. In the special case k=n, we improve the upper and lower bounds presented in a paper by Pach and Wenger [J. Pach, R. Wenger, Embedding planar graphs at fixed vertex locations, Graphs and Combinatorics 17 (2001) 717–728]. The upper bound is based on an algorithm for computing a topological book embedding of a planar graph, such that the vertices follow a given left-to-right order and the number of crossings between every edge and the spine is asymptotically optimal, which can be regarded as a result of independent interest.

Keywords

Graph drawing, Computational geometry; colored point-set embeddability, Graph drawing; Computational geometry; Point-set embedding; Graph Hamiltonicity, Point-set embedding, Graph Hamiltonicity, Computational geometry, Theoretical Computer Science, Computer Science(all)

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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!
37
Top 10%
Top 10%
Top 10%
hybrid