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Propagación de rumores en hipergrafos

Kleber Andrade Oliveira1, Pietro Traversa2,3, Guilherme Ferraz de Arruda4

  • 1Social Dynamics Research Lab, Department of Psychology, University of Limerick, Limerick, Ireland.

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|February 26, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un nuevo modelo de hipergrafo para la propagación de rumores, que tiene en cuenta las interacciones grupales. El modelo revela transiciones de fase en la dinámica de los rumores, lo que sugiere que la propagación en el mundo real ocurre cerca de la criticidad.

Palabras clave:
propagación de rumoreshipergrafosdinámica de redestransiciones de fasecriticidadinteracciones grupalesredes socialesmodelado de redes

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Área de la Ciencia:

  • Sistemas Complejos
  • Ciencia de la Información
  • Ciencia de Redes

Sus antecedentes:

  • Las redes sociales facilitan la rápida difusión de información y rumores, especialmente en entornos grupales.
  • Los modelos de pares existentes no logran capturar las complejas interacciones grupales cruciales para la dinámica de los rumores.
  • Las interacciones de orden superior son esenciales para una comprensión integral de las cascadas de información.

Objetivo del estudio:

  • Desarrollar un modelo sofisticado de propagación de rumores de orden superior utilizando hipergrafos.
  • Incorporar un mecanismo de aniquilación basado en grupos en la dinámica de los rumores.
  • Investigar las transiciones de fase y los comportamientos de la propagación de rumores en redes complejas.

Principales métodos:

  • Propuso un nuevo modelo de propagación de rumores basado en hipergrafos.
  • Introdujo un mecanismo de aniquilación basado en grupos donde los propagadores se convierten en inhibidores.
  • Analizó la dinámica subcrítica, incluido el decaimiento exponencial y de ley de potencias, y las transiciones de fase.
  • Validó el modelo utilizando datos empíricos de cascadas de Telegram y correo electrónico.

Principales resultados:

  • Identificó dos comportamientos subcríticos distintos: decaimiento exponencial y de ley de potencias.
  • Observó transiciones de fase continuas tanto en hipergrafos homogéneos como heterogéneos.
  • Demostró la coexistencia de comportamientos de decaimiento dependientes de la heterogeneidad del hipergrafo.
  • La validación empírica confirmó la capacidad del modelo para explicar la dinámica de rumores del mundo real.

Conclusiones:

  • El modelo de hipergrafo propuesto ofrece una representación más realista de la propagación de rumores en entornos grupales.
  • La dinámica de rumores del mundo real opera frecuentemente cerca de un estado crítico, como lo sugieren las transiciones de fase observadas.
  • Los hallazgos proporcionan información sobre los mecanismos que impulsan las cascadas de información y su control.