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dc.creatorArruda, Guilherme Ferraz de-
dc.creatorJeub, Lucas G. S.-
dc.creatorMata, Angélica S.-
dc.creatorRodrigues, Francisco A.-
dc.creatorMoreno, Yamir-
dc.date.accessioned2022-07-04T20:28:33Z-
dc.date.available2022-07-04T20:28:33Z-
dc.date.issued2022-06-
dc.identifier.citationARRUDA, G. F. de et al. From subcritical behavior to a correlation-induced transition in rumor models. Nature Communications, [S.I.], v. 13, 2022. DOI: https://doi.org/10.1038/s41467-022-30683-z.pt_BR
dc.identifier.urihttps://www.nature.com/articles/s41467-022-30683-zpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/50464-
dc.description.abstractRumors 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.pt_BR
dc.languageenpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsrestrictAccesspt_BR
dc.sourceNature Communicationspt_BR
dc.subjectComplex networkspt_BR
dc.subjectNonlinear phenomenapt_BR
dc.subjectPhase transitions and critical phenomenapt_BR
dc.titleFrom subcritical behavior to a correlation-induced transition in rumor modelspt_BR
dc.typeArtigopt_BR
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