Majority Bootstrap Percolation on G(n,p)
Abstract
Majority bootstrap percolation on a graph G is an epidemic process defined in the following manner. Firstly, an initially infected set of vertices is selected. Then step by step the vertices that have more infected than non-infected neighbours are infected. We say that percolation occurs if eventually all vertices in G become infected. In this paper we study majority bootstrap percolation on the Erdos-R\'enyi random graph G(n,p) above the connectivity threshold. Perhaps surprisingly, the results obtained for small p are comparable to the results for the hypercube obtained by Balogh, Bollob\'as and Morris (2009).
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