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Journal of Graph Algorithms and Applications
Article . 2007 . Peer-reviewed
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Bar k-Visibility Graphs

Bar \(k\)-visibility graphs
Authors: Alice M. Dean; William S. Evans; Ellen Gethner; Joshua D. Laison; Mohammad Ali Safari; William T. Trotter;
Abstract

Summary: Let \(S\) be a set of horizontal line segments, or bars, in the plane. We say that \(G\) is a bar visibility graph, and \(S\) its bar visibility representation, if there exists a one-to-one correspondence between vertices of \(G\) and bars in \(S\), such that there is an edge between two vertices in \(G\) if and only if there exists an unobstructed vertical line of sight between their corresponding bars. If bars are allowed to see through each other, the graphs representable in this way are precisely the interval graphs. We consider representations in which bars are allowed to see through at most \(k\) other bars. Since all bar visibility graphs are planar, we seek measurements of closeness to planarity for bar \(k\)-visibility graphs. We obtain an upper bound on the number of edges in a bar \(k\)-visibility graph. As a consequence, we obtain an upper bound of 12 on the chromatic number of bar 1-visibility graphs, and a tight upper bound of 8 on the size of the largest complete bar 1-visibility graph. We also consider the thickness of bar \(k\)-visibility graphs, obtaining an upper bound of 4 when \(k = 1\), and a bound that is quadratic in \(k\) for \(k > 1\).

Keywords

Graph theory (including graph drawing) in computer science

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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!
29
Top 10%
Top 10%
Average
gold