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Epidemic process on a random graph: some preliminary results

Published online by Cambridge University Press:  14 July 2016

I. B. Gertsbakh
I. B. Gertsbakh*
Affiliation:
Ben Gurion University of the Negev, Beersheva, Israel
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Abstract

A random graph is a collection of n points and n directed arcs: a directed arc goes equiprobably from each point to one of (n – 1) other points. m points are initially ‘infected'. We consider several schemes of epidemic process, e.g. when the infection is delivered according to arc direction. We prove that the probability of infecting all the n points with m = 1 is ∼ e/n, when n → ∞; another result is that m = o(√ n) cannot infect an essential part of the graph (having the size of O(n)). Possible applications of the models to real world phenomena are briefly discussed.

Keywords

RANDOM GRAPHRANDOM MAPPINGEPIDEMIC PROCESSTHRESHOLD FUNCTION
Type
Research Papers
Information
Journal of Applied Probability , Volume 14 , Issue 3 , September 1977 , pp. 427 - 438
Copyright
Copyright © Applied Probability Trust 1977 

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