We study the fixation probability for two versions of the Moran process on the random graph Gn,p at the threshold for connectivity. The Moran process models the spread of a mutant population in a network. Throughtout the process there are vertices of two types, mutants and non-mutants. Mutants have fitness s and non-mutants have fitness 1. The process starts with a unique individual mutant located at the vertex v0. In the Birth-Death version of the process a random vertex is chosen proportional to its fitness and then changes the type of a random neighbor to its own. The process continues until the set of mutants X is empty or [n]. In the Death-Birth version a uniform random vertex is chosen and then takes the type of a random neighbor, chosen according to fitness. The process again continues until the set of mutants X is empty or [n]. The {\em fixation probability} is the probability that the process ends with X=∅. We give asymptotically correct estimates of the fixation probability that depend on degree of v0 and its neighbors.,
@article{arxiv.2409.11615,
title = {The Moran process on a random graph},
author = {Alan Frieze and Wesley Pegden},
journal= {arXiv preprint arXiv:2409.11615},
year = {2025}
}