From subcritical behavior to a correlation-induced transition in rumor models

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorArruda, Guilherme Ferraz de-
Autor(es): dc.creatorJeub, Lucas G. S.-
Autor(es): dc.creatorMata, Angélica S.-
Autor(es): dc.creatorRodrigues, Francisco A.-
Autor(es): dc.creatorMoreno, Yamir-
Data de aceite: dc.date.accessioned2026-02-09T12:45:22Z-
Data de disponibilização: dc.date.available2026-02-09T12:45:22Z-
Data de envio: dc.date.issued2022-07-04-
Data de envio: dc.date.issued2022-07-04-
Data de envio: dc.date.issued2022-06-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/50464-
Fonte completa do material: dc.identifierhttps://www.nature.com/articles/s41467-022-30683-z-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1167638-
Descrição: dc.descriptionRumors 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.-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer Nature-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceNature Communications-
Palavras-chave: dc.subjectComplex networks-
Palavras-chave: dc.subjectNonlinear phenomena-
Palavras-chave: dc.subjectPhase transitions and critical phenomena-
Título: dc.titleFrom subcritical behavior to a correlation-induced transition in rumor models-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.