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Los motivos de las redes: bloques simples de construcción de redes complejas
R Milo1, S Shen-Orr, S Itzkovitz
1Departments of Physics of Complex Systems and Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel 76100.
Science (New York, N.Y.)
|October 26, 2002
Resumen
Los investigadores identificaron "motivos de red", patrones específicos de interconexión, en redes complejas en varios campos científicos. Estos motivos pueden representar bloques de construcción universales para la comprensión de las estructuras de red.
Área de la Ciencia:
- Estudia redes complejas en diversas disciplinas científicas, incluida la bioquímica, la neurobiología, la ecología y la ingeniería.
Sus antecedentes:
- Las redes complejas prevalecen en la naturaleza y la tecnología, pero sus principios estructurales subyacentes siguen siendo incompletamente entendidos.
- La identificación de patrones recurrentes dentro de estas redes es crucial para descifrar su diseño y función.
Objetivo del estudio:
- Definir e identificar "motivos de red" patrones de interconexión significativamente sobrerrepresentados en redes complejas.
- Para explorar si estos motivos representan bloques de construcción universales en diferentes tipos de redes.
Principales métodos:
- Se define "motivos de red" como patrones que ocurren en números significativamente más altos de lo esperado en redes aleatorizadas.
- Se analizaron redes de varios dominios, incluidas las redes ecológicas de alimentos, las redes genéticas (Escherichia coli, Saccharomyces cerevisiae), la World Wide Web y las redes neuronales (Caenorhabditis elegans).
Principales resultados:
- Identificó distintos motivos de red en las redes ecológicas de alimentos en comparación con las redes genéticas y la World Wide Web.
- Descubrió motivos similares en las redes que realizan el procesamiento de información, independientemente de su contexto biológico o tecnológico (por ejemplo, biomoléculas frente a conexiones neuronales).
Conclusiones:
- Los motivos de red parecen conservarse en diferentes sistemas complejos, lo que sugiere que pueden definir clases universales de redes.
- La identificación de los motivos de red proporciona un enfoque poderoso para descubrir los principios estructurales fundamentales y los bloques de construcción en redes complejas.
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