Color-avoiding percolation of random graphs: between the subcritical and the intermediate regime
Lyuben Lichev

TL;DR
This paper investigates the phase transition in color-avoiding percolation of random graphs, focusing on the transition between the intermediate and subcritical regimes where the largest CA-component size shifts from logarithmic to bounded.
Contribution
It characterizes the phase transition between the intermediate and subcritical regimes in the size of the largest CA-component in randomly colored graphs.
Findings
Identifies the critical point of the phase transition.
Describes the behavior of CA-components near the transition.
Provides theoretical insights into the size scaling of CA-components.
Abstract
Fix a graph in which every edge is colored in some of colors. Two vertices and are CA-connected if and may be connected using any subset of colors. CA-connectivity is an equivalence relation dividing the vertex set into classes called CA-components. In two recent papers, R\'ath, Varga, Fekete, and Molontay, and Lichev and Schapira studied the size of the largest CA-component in a randomly colored random graph. The second of these works distinguished and studied three regimes (supercritical, intermediate, and subcritical) in which the largest CA-component has respectively linear, logarithmic, and bounded size. In this short note, we describe the phase transition between the intermediate and the subcritical regime.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Markov Chains and Monte Carlo Methods
