The role of multiple repetitions on the size of a rumor
| Autor: | Elcio Lebensztayn, Cristian F. Coletti, Pablo M. Rodriguez, Alejandra Rada |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Physics - Physics and Society
Information transmission education.field_of_study Computer science Population Probability (math.PR) FOS: Physical sciences Physics and Society (physics.soc-ph) Rumor Measure (mathematics) 60K35 Modeling and Simulation Statistics FOS: Mathematics education Mathematics - Probability Analysis |
| DOI: | 10.48550/arxiv.2006.07992 |
| Popis: | We propose a mathematical model to measure how multiple repetitions may influence in the ultimate proportion of the population never hearing a rumor during a given outbreak. The model is a multi-dimensional continuous-time Markov chain that can be seen as a generalization of the Maki-Thompson model for the propagation of a rumor within a homogeneously mixing population. In the well-known basic model, the population is made up of "spreaders", "ignorants" and "stiflers", and any spreader attempts to transmit the rumor to the other individuals via directed contacts. In case the contacted individual is an ignorant, it becomes a spreader, while in the other two cases the initiating spreader turns into a stifler. The process in a finite population will eventually reach an equilibrium situation, where individuals are either stiflers or ignorants. We generalize the model by assuming that each ignorant becomes a spreader only after hearing the rumor a predetermined number of times. We identify and analyze a suitable limiting dynamical system of the model, and we prove limit theorems that characterize the ultimate proportion of individuals in the different classes of the population. Comment: Revised version accepted for publication at SIAM Journal on Applied Dynamical Systems |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|