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Multi-colored spanning graphs

Authors: Akatya, Hugo; Löffler, Maarten; Tóth, Csaba;

Multi-colored spanning graphs

Abstract

We study a problem proposed by Hurtado et al. (2016) motivated by sparse set visualization. Given $n$ points in the plane, each labeled with one or more primary colors, a \emph{colored spanning graph} (CSG) is a graph such that for each primary color, the vertices of that color induce a connected subgraph. The \textsc{Min-CSG} problem asks for the minimum sum of edge lengths in a colored spanning graph. We show that the problem is NP-hard for $k$ primary colors when $k\ge 3$ and provide a $(2-\frac{1}{3+2\varrho})$-approximation algorithm for $k=3$ that runs in polynomial time, where $\varrho$ is the Steiner ratio. Further, we give a $O(n)$ time algorithm in the special case that the input points are collinear and $k$ is constant.

Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)

Country
Netherlands
Keywords

GRAPHS THEORY, Computational Geometry (cs.CG), FOS: Computer and information sciences, geometric graph, minimum spanning tree, set visualization, Approximation algorithms, GRAPH DRAWING, Graph theory (including graph drawing) in computer science, Taverne, Computer graphics; computational geometry (digital and algorithmic aspects), Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Computer Science - Computational Geometry, Analysis of algorithms, COMPUTATIONAL GEOMETRY

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    influence
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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!
5
Average
Average
Average
Green
bronze