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Dynamic Graph Coloring

Authors: Barba, Luis; Cardinal, Jean; Korman, Matias; Langerman, Stefan; Van Renssen, André; Roeloffzen, Marcel; Verdonschot, Sander;
Abstract

In this paper we study the number of vertex recolorings that an algorithm needs to perform in order to maintain a proper coloring of a graph under insertion and deletion of vertices and edges. We present two algorithms that achieve different trade-offs between the number of recolorings and the number of colors used. For any $d>0$, the first algorithm maintains a proper $O(\mathcal{C} d N^{1/d})$-coloring while recoloring at most $O(d)$ vertices per update, where $\mathcal{C}$ and $N$ are the maximum chromatic number and maximum number of vertices, respectively. The second algorithm reverses the trade-off, maintaining an $O(\mathcal{C} d)$-coloring with $O(d N^{1/d})$ recolorings per update. The two converge when $d = \log N$, maintaining an $O(\mathcal{C} \log N)$-coloring with $O(\log N)$ recolorings per update. We also present a lower bound, showing that any algorithm that maintains a $c$-coloring of a $2$-colorable graph on $N$ vertices must recolor at least $��(N^\frac{2}{c(c-1)})$ vertices per update, for any constant $c \geq 2$.

Country
Netherlands
Keywords

FOS: Computer and information sciences, Data structures, Informatique générale, Informatique mathématique, Computer Science - Data Structures and Algorithms, Dynamic coloring; Graphs; Data structures; Amortized algorithms, Théorie des graphes, Amortized algorithms, Data Structures and Algorithms (cs.DS), Graphs, Théorie des algorithmes, Dynamic coloring

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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!
22
Top 10%
Top 10%
Top 10%
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