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O. S. Awolude

Publications and source records attributed to O. S. Awolude.

2 recordsLinked to original sources

The SIS process on Erdös-Rényi graphs: determining the infected fraction

There are many methods to estimate the quasi-stationary infected fraction of the SIS process on (random) graphs. A challenge is to adequately incorporate correlations, which is especially important in sparse graphs. Methods typically are either significantly biased in sparse graphs, or computationally very demanding already for small network sizes. The former applies to Heterogeneous Mean Field and to the N-intertwined Mean Field Approximation, the latter to most higher order approximations. In this paper we present a new method to determine the infected fraction in sparse graphs, which we test on Erdős-Rényi graphs. Our method is based on degree-pairs, does take into account correlations and gives accurate estimates. At the same time, computations are very feasible and can easily be done even for large networks.

cond-mat.stat-mech

Random walks on $\mathbb{Z}$ with metastable Gaussian distribution caused by linear drift with application to the contact process on the complete graph

We study random walks on $\mathbb{Z}$ which have a linear (or almost linear) drift towards 0 in a range around 0. This drift leads to a metastable Gaussian distribution centered at zero. We give specific, fast growing, time windows where we can explicitely bound the distance of the distribution of the walk to an appropriate Gaussian. In this way we give a solid theoretical foundation to the notion of metastability. We show that the supercritical contact process on the complete graph has a drift towards its equilibrium point which is locally linear and that our results for random walks apply. This leads to the conclusion that the infected fraction of the population in metastability (when properly scaled) converges in distribution to a Gaussian, uniformly for all times in a fast growing interval.

math.PR