How to Color Temporal Graphs to Ensure Proper Transitions

TL;DR

This paper introduces a new concept of coloring for temporal graphs that maintains proper coloring across transitions, providing bounds and analyzing specific graph classes, with implications for online and offline scenarios.

Contribution

It defines the temporal chromatic number for dynamic graphs and explores bounds and properties for various graph classes, including online settings.

Findings

Established bounds for the temporal chromatic number.

Analyzed specific classes like trees and bounded degree graphs.

Extended results to online coloring scenarios.

Abstract

Graph Coloring consists in assigning colors to vertices ensuring that two adjacent vertices do not have the same color. In dynamic graphs, this notion is not well defined, as we need to decide if different colors for adjacent vertices must happen all the time or not, and how to go from a coloring in one time to the next one. In this paper, we define a coloring notion for Temporal Graphs where at each step, the coloring must be proper. It uses a notion of compatibility between two consecutive snapshots that implies that the coloring stays proper while the transition happens. Given a graph, the minimum number of colors needed to ensure that such coloring exists is the \emph{Temporal Chromatic Number} of this graph. With those notions, we provide some lower and upper bounds for the temporal chromatic number in the general case. We then dive into some specific classes of graphs such as trees, graphs with bounded degree or bounded degeneracy. Finally, we consider temporal graphs where grow pace is one, that is, a single edge can be added and a single other one can be removed between two time steps. In that case, we consider bipartite and bounded degree graphs. Even though the problem is defined with full knowledge of the temporal graph, our results also work in the case where future snapshots are given online: we need to choose the coloring of the next snapshot after having computed the current one, not knowing what