Bootstrap Percolation, Connectivity, and Graph Distance
Hudson LaFayette, Rayan Ibrahim, Kevin McCall

TL;DR
This paper studies bootstrap percolation on graphs, establishing conditions for minimal percolating sets, and exploring how graph connectivity and distance influence the percolation process and its speed.
Contribution
It provides a sufficient condition for size-2 percolating sets in diameter 2 graphs and links graph invariants to percolation dynamics.
Findings
Cardinality 2 percolating sets exist in diameter 2 graphs when r=2 under certain conditions.
Bounds on the number of rounds to percolation are derived based on graph distance invariants.
Connections between connectivity and bootstrap percolation are established.
Abstract
Bootstrap Percolation is a process defined on a graph which begins with an initial set of infected vertices. In each subsequent round, an uninfected vertex becomes infected if it is adjacent to at least previously infected vertices. If an initially infected set of vertices, , begins a process in which every vertex of the graph eventually becomes infected, then we say that percolates. In this paper we investigate bootstrap percolation as it relates to graph distance and connectivity. We find a sufficient condition for the existence of cardinality 2 percolating sets in diameter 2 graphs when . We also investigate connections between connectivity and bootstrap percolation and lower and upper bounds on the number of rounds to percolation in terms of invariants related to graph distance.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Complex Network Analysis Techniques
