Adversarial graph burning densities

TL;DR

This paper studies a competitive, adversarial variation of graph burning, analyzing strategies for influence spread versus graph growth, with results on winning conditions based on the growth rate of added vertices.

Contribution

It introduces an adversarial game model for graph burning with two players, analyzing winning strategies depending on the growth function of added vertices.

Findings

Threshold results for winning strategies based on polynomial growth of added vertices.

Conditions under which Arsonist or Builder can guarantee victory.

Analysis of influence spread in dynamic, adversarial graph processes.

Abstract

Graph burning is a discrete-time process that models the spread of influence in a network. Vertices are either burning or unburned, and in each round, a burning vertex causes all of its neighbours to become burning before a new fire source is chosen to become burning. We introduce a variation of this process that incorporates an adversarial game played on a nested, growing sequence of graphs. Two players, Arsonist and Builder, play in turns: Builder adds a certain number of new unburned vertices and edges incident to these to create a larger graph, then every vertex neighbouring a burning vertex becomes burning, and finally Arsonist `burns' a new fire source. This process repeats forever. Arsonist is said to win if the limiting fraction of burning vertices tends to 1, while Builder is said to win if this fraction is bounded away from 1. The central question of this paper is determining if, given that Builder adds $f(n)$ vertices at turn $n$, either Arsonist or Builder has a winning strategy. In the case that $f(n)$ is asymptotically polynomial, we give threshold results for which player has a winning strategy.