
TL;DR
This paper investigates the computational complexity of the graph burning problem on various subclasses of geometric graphs, proving NP-Completeness for interval, permutation, and disk graphs, and discussing approximation limits for general graphs.
Contribution
It establishes NP-Completeness of optimal burning for several geometric graph classes and discusses approximation bounds for general graphs.
Findings
Burning interval graphs is NP-Complete.
Burning permutation graphs is NP-Complete.
Burning disk graphs is NP-Complete.
Abstract
A procedure called \textit{graph burning} was introduced to facilitate the modelling of spread of an alarm, a social contagion, or a social influence or emotion on graphs and networks. Graph burning runs on discrete time-steps (or rounds). At each step , first (a) an unburned vertex is burned (as a \textit{fire source}) from "outside", and then (b) the fire spreads to vertices adjacent to the vertices which are burned till step . This process stops after all the vertices of have been burned. The aim is to burn all the vertices in a given graph in minimum time-steps. The least number of time-steps required to burn a graph is called its \textit{burning number}. The less the burning number is, the faster a graph can be burned. Burning a general graph optimally is an NP-Complete problem. It has been proved that optimal burning of path forests, spider graphs, and trees with…
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Taxonomy
TopicsComplex Network Analysis Techniques · Advanced Graph Theory Research · Graph theory and applications
