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The Maki-Thompson Rumor Model on Infinite Cayley Trees
by
Junior, Valdivino V.
, Rodriguez, Pablo M.
, Speroto, Adalto
in
Analysis
/ Graphical representations
/ Markov analysis
/ Markov chains
/ Markov processes
/ Mathematical and Computational Physics
/ Physical Chemistry
/ Physics
/ Physics and Astronomy
/ Quantum Physics
/ Random variables
/ Spreaders
/ Statistical Physics and Dynamical Systems
/ Theoretical
2020
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The Maki-Thompson Rumor Model on Infinite Cayley Trees
by
Junior, Valdivino V.
, Rodriguez, Pablo M.
, Speroto, Adalto
in
Analysis
/ Graphical representations
/ Markov analysis
/ Markov chains
/ Markov processes
/ Mathematical and Computational Physics
/ Physical Chemistry
/ Physics
/ Physics and Astronomy
/ Quantum Physics
/ Random variables
/ Spreaders
/ Statistical Physics and Dynamical Systems
/ Theoretical
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The Maki-Thompson Rumor Model on Infinite Cayley Trees
by
Junior, Valdivino V.
, Rodriguez, Pablo M.
, Speroto, Adalto
in
Analysis
/ Graphical representations
/ Markov analysis
/ Markov chains
/ Markov processes
/ Mathematical and Computational Physics
/ Physical Chemistry
/ Physics
/ Physics and Astronomy
/ Quantum Physics
/ Random variables
/ Spreaders
/ Statistical Physics and Dynamical Systems
/ Theoretical
2020
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Journal Article
The Maki-Thompson Rumor Model on Infinite Cayley Trees
2020
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Overview
In this paper we study the Maki-Thompson rumor model on infinite Cayley trees. The basic version of the model is defined by assuming that a population represented by a graph is subdivided into three classes of individuals: ignorants, spreaders and stiflers. A spreader tells the rumor to any of its (nearest) ignorant neighbors at rate one. At the same rate, a spreader becomes a stifler after a contact with other (nearest neighbor) spreaders, or stiflers. In this work we study this model on infinite Cayley trees, which is formulated as a continuous-times Markov chain, and we extend our analysis to the generalization in which each spreader ceases to propagate the rumor right after being involved in a given number of stifling experiences. We study sufficient conditions under which the rumor either becomes extinct or survives with positive probability.
Publisher
Springer US,Springer,Springer Nature B.V
Subject
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