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Predecir el comportamiento de los sistemas tecno-sociales.
1Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA. alexv@indiana.edu
Science (New York, N.Y.)
|July 25, 2009
Resumen
Los sistemas tecno-sociales, como el Internet y el WiFi, son complejos e interconectados. Los avances en el modelado de redes complejas ofrecen poder predictivo para la comprensión de estos sistemas.
Área de la Ciencia:
- Ciencia de los sistemas complejos Ciencia de los sistemas complejos
- Ciencia de la red Ciencia de la red Ciencia de la red
- Sistemas sociotecnológicos Sistemas sociotecnológicos
Sus antecedentes:
- Las infraestructuras modernas son sistemas tecno-sociales cada vez más interconectados.
- Estos sistemas implican capas tecnológicas interoperantes impulsadas por factores sociales.
- Los ejemplos incluyen Internet, World Wide Web, WiFi y redes de transporte.
Objetivo del estudio:
- Destacar la naturaleza a múltiples escalas y la complejidad de las redes tecno-sociales.
- Para enfatizar la importancia de comprender y gestionar estas complejas redes.
- Explorar el potencial de nuevos datos y enfoques de modelado para el poder predictivo.
Principales métodos:
- Aprovechando los avances en la teoría y el modelado de redes complejas.
- Utilizando la accesibilidad de nuevos datos para el análisis.
- Desarrollar un marco integrado para la comprensión de los sistemas tecno-sociales.
Principales resultados:
- Identificó la naturaleza multiscala y la complejidad como características cruciales.
- Demostró la creciente interconexión de los sistemas tecno-sociales.
- Estableció un marco para una mejor comprensión y gestión.
Conclusiones:
- El marco integrado nos acerca al logro de un verdadero poder predictivo.
- Comprender las redes complejas es clave para gestionar los sistemas tecno-sociales.
- La investigación futura puede mejorar aún más las capacidades predictivas de estos sistemas.
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