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Los orígenes de la inestabilidad en sistemas dinámicos en redes no dirigidas
Shraosi Dawn1, Subrata Ghosh2, Chandrakala Meena3
1International Institute of Information Technology Hyderabad, Center for Computational Natural Sciences and Bioinformatics, Gachibowli, Hyderabad 500032, Telangana, India.
Physical review. E
|February 20, 2026
Resumen
Sistemas complejos de sistemas complejos.
Área de la Ciencia:
- Análisis de sistemas complejos Análisis de sistemas complejos
- Dinámica de la red Dinámica de la red
- Biología Matemática Biología Matemática.
Sus antecedentes:
- La robustez a la perturbación es crucial en sistemas complejos en campos como la epidemiología y la bioquímica.
- Comprender cómo evolucionan las perturbaciones en los sistemas dinámicos en red es clave para predecir el comportamiento del sistema.
Objetivo del estudio:
- Para analizar el espectro propio de las matrices jacobianas para sistemas dinámicos en red.
- Identificar cómo la estructura de la red influye en la estabilidad y la dinámica de perturbación.
Principales métodos:
- Análisis de espectro propio de matrices jacobianas para sistemas dinámicos en red.
- Investigar la relación entre los valores atípicos espectrales y la estabilidad del sistema.
- Examinar el papel de los grados de nodo (bajo, alto o uniforme) en la inestabilidad.
Principales resultados:
- La estabilidad del sistema está determinada por valores atípicos espectrales, con diferencias de vectores propios entre regímenes.
- La inestabilidad puede surgir de nodos con grados extremos o uniformemente a través de la red.
- La dependencia extrema del grado conduce a efectos de tamaño finito con escalamiento variable basado en la distribución del grado.
Conclusiones:
- El estudio proporciona información sobre la estabilidad de sistemas complejos en red.
- Los hallazgos son aplicables al monitoreo de la red para la predicción y prevención de fallas.
- Los resultados analíticos se validan utilizando dinámicas epidémicas y modelos de redes de regulación génica.
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