Evaluation of variation coefficients, calculation of the plot and sample sizes in ...
Full text | |
Author(s): |
Total Authors: 4
|
Affiliation: | [1] Univ Fed Abc, Ctr Matemat Comp & Cognicao, 5001 Bangu, Santo Andre, SP - Brazil
[2] Univ Estadual Campinas, Inst Matemat Estat & Comp Cient, BR-13083859 Campinas, SP - Brazil
[3] Univ Fed Pernambuco, Ctr Ciencias Exatas & Nat, BR-50670901 Recife, PE - Brazil
Total Affiliations: 3
|
Document type: | Journal article |
Source: | SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS; v. 20, n. 3, p. 1209-1231, 2021. |
Web of Science Citations: | 0 |
Abstract | |
We propose a mathematical model to measure how multiple repetitions may influence the ultimate proportion of the population never hearing a rumor during a given outbreak. The model is a multidimensional 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. (AU) | |
FAPESP's process: | 17/10555-0 - Stochastic modeling of interacting systems |
Grantee: | Fabio Prates Machado |
Support Opportunities: | Research Projects - Thematic Grants |
FAPESP's process: | 18/22972-8 - Recurrence, entropy and application in rumors. |
Grantee: | Erika Alejandra Rada Mora |
Support Opportunities: | Regular Research Grants |