| Texto completo | |
| Autor(es): |
de Arruda, Guilherme Ferraz
;
Jeub, Lucas G. S.
;
Mata, Angelica S.
;
Rodrigues, Francisco A.
;
Moreno, Yamir
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | NATURE COMMUNICATIONS; v. 13, n. 1, p. 10-pg., 2022-06-01. |
| Resumo | |
Rumors and information spreading emerge naturally from human-to-human interactions and have a growing impact on our everyday life due to increasing and faster access to information, whether trustworthy or not. A popular mathematical model for spreading rumors, data, or news is the Maki-Thompson model. Mean-field approximations suggested that this model does not have a phase transition, with rumors always reaching a fraction of the population. Conversely, here, we show that a continuous phase transition is present in this model. Moreover, we explore a modified version of the Maki-Thompson model that includes a forgetting mechanism, changing the Markov chain's nature and allowing us to use a plethora of analytic and numeric methods. Particularly, we characterize the subcritical behavior, where the lifespan of a rumor increases as the spreading rate drops, following a power-law relationship. Our findings show that the dynamic behavior of rumor models is much richer than shown in previous investigations. Rumors and information spreading emerge naturally from human-to-human interaction and have a growing impact on people's lives due to increasing and faster access to information, whether trustworthy or not. The authors study the Maki-Thompson rumor model and its variation, revealing a phase transition and providing insights into the nature of this transition. (AU) | |
| Processo FAPESP: | 19/23293-0 - Predição e inferência em sistemas complexos |
| Beneficiário: | Francisco Aparecido Rodrigues |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |