Limit theorems for a general stochastic rumour model

Details Limit theorems for a general stochastic rumour model Limit theorems for a general stochastic rumour model

2010-03-25

arxiv.org/abs/1003.4995v3

Mathematics

Probability

13 pages, to appear in SIAM Journal on Applied Mathematics

Scientific paper

We study a general stochastic rumour model in which an ignorant individual has a certain probability of becoming a stifler immediately upon hearing the rumour. We refer to this special kind of stifler as an uninterested individual. Our model also includes distinct rates for meetings between two spreaders in which both become stiflers or only one does, so that particular cases are the classical Daley-Kendall and Maki-Thompson models. We prove a Law of Large Numbers and a Central Limit Theorem for the proportions of those who ultimately remain ignorant and those who have heard the rumour but become uninterested in it.

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