2012
DOI: 10.1007/s10955-012-0469-y
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A Spatial Stochastic Model for Rumor Transmission

Abstract: We consider an interacting particle system representing the spread of a rumor by agents on the d-dimensional integer lattice. Each agent may be in any of the three states belonging to the set {0, 1, 2}. Here 0 stands for ignorants, 1 for spreaders and 2 for stiflers. A spreader tells the rumor to any of its (nearest) ignorant neighbors at rate λ. At rate α a spreader becomes a stifler due to the action of other (nearest neighbor) spreaders. Finally, spreaders and stiflers forget the rumor at rate one. We study… Show more

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Cited by 23 publications
(23 citation statements)
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“…Variations of the Maki-Thompson rumor model were considered in several graphs. For instance, the survival of the rumor was studied in Moreno et al (2004) and Isham et al (2010) when the population is represented by a random or complex network, and in Coletti et al (2012) when the population is represented by the d-dimensional hypercubic lattice.…”
Section: Introductionmentioning
confidence: 99%
“…Variations of the Maki-Thompson rumor model were considered in several graphs. For instance, the survival of the rumor was studied in Moreno et al (2004) and Isham et al (2010) when the population is represented by a random or complex network, and in Coletti et al (2012) when the population is represented by the d-dimensional hypercubic lattice.…”
Section: Introductionmentioning
confidence: 99%
“…To illustrate our approach, we return to the spreading process (3). Assuming that μn, σ figure 2, one easily discerns the individual effects from movement and spreading while the effects of spreading can hardly be seen in figure 3.…”
Section: Examplementioning
confidence: 99%
“…Some authors also consider epidemic rumour processes where individuals are localised on a line [5] or a d-dimensional lattice [3]. In this case, rumour spreading depends on the distance to other individuals.…”
Section: Introductionmentioning
confidence: 99%
“…We refer the reader to [7,12,13,14] for a review of results and generalizations of these models. Also, many modifications of these models have been considered assuming that the population is not necessarily homogeneous nor totally mixing, see [1,3,5,16,17] and the references therein. The results obtained in that direction rely mainly on mean-field approximations, computational simulations, or partial qualitative results.…”
Section: Introductionmentioning
confidence: 99%