Cluster Probability in Bootstrap Percolation
A. B. Harris, Andrea J. Liu

TL;DR
This paper introduces a recursive formula to calculate the probability of k-clusters in bootstrap percolation, advancing the understanding of cluster formation in this process.
Contribution
The paper presents a novel recursive approach for determining cluster probabilities in bootstrap percolation, which was not previously available.
Findings
Derived a recursive formula for cluster probabilities
Enhanced analytical tools for bootstrap percolation analysis
Potential applications in network robustness studies
Abstract
We develop a recursive formula for the probability of a k-cluster in bootstrap percolation.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Complex Network Analysis Techniques · Stochastic processes and statistical mechanics
