A new relationship between Erdos-R\'enyi graphs, epidemic models and Brownian motion with parabolic drift
Abstract
In the Reed-Frost model, an example of an SIR epidemic model, one can examine a statistic that counts the number of concurrently infected individuals. This statistic can be reformulated as a statistic on the random graph G(n,p). Within the critical window of Aldous and Martin-L\"of, i.e. when p = p(n) = n-1+λ n-4/3, the cumulative sum of this statistic converges weakly to the integral of a Brownian motion with parabolic drift. This same statistic exhibits a deterministic scaling limit when p = (1+λ n)/n whenever n 0 and n1/3n∞.
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