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Mitigación de cascadas en redes coevolutivas con reconfiguración dirigida

Karan Singh1, Kabilan Thirumurugan1, V K Chandrasekar2

  • 1Indian Institute of Science Education and Research Thiruvananthapuram, School of Physics, Thiruvananthapuram 695551, Kerala, India.

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Resumen

Este estudio introduce nodos superpropagadores para controlar las cascadas de adopción en redes. La reconfiguración dirigida por estos nodos reduce los costos y los cambios en la red, mejorando la eficiencia y la estabilidad del sistema.

Palabras clave:
redes coevolutivasdinámica de opinionesnodos superpropagadorescascadas de adopciónreconfiguración dirigidaciencia de redessociofísicasistemas complejos

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Área de la Ciencia:

  • Ciencia de redes
  • Sociofísica
  • Sistemas complejos

Sus antecedentes:

  • Comprender cómo la estructura de la red influye en la dinámica de opiniones es crucial.
  • Los modelos anteriores a menudo carecen de eficiencia en la gestión de cascadas de adopción y adaptación de redes.

Objetivo del estudio:

  • Investigar la coevolución de la estructura de la red y la dinámica de opiniones.
  • Introducir un novedoso mecanismo de reconfiguración dirigida que involucra nodos superpropagadores.

Principales métodos:

  • Integración de un modelo de contagio complejo basado en umbrales con reconfiguración dirigida.
  • Análisis teórico de campo medio.
  • Simulaciones numéricas.

Principales resultados:

  • La reconfiguración dirigida por nodos superpropagadores contiene eficientemente las cascadas de adopción.
  • Reduce significativamente el número de operaciones de reconfiguración requeridas.
  • Localiza la adaptación estructural en puntos críticos de la red, asegurando una evolución económica y estable.

Conclusiones:

  • El mecanismo de superpropagador ofrece un enfoque más eficiente y realista para la intervención en redes.
  • Reduce sustancialmente los costos de intervención y la carga de reconfiguración con un cambio estructural mínimo.