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El análisis de redes en las ciencias sociales
Stephen P Borgatti1, Ajay Mehra, Daniel J Brass
1LINKS Center for Network Research in Business, Gatton College of Business and Economics, University of Kentucky, Lexington, KY 40506-0034, USA. sborgatti@uky.edu
Science (New York, N.Y.)
|February 14, 2009
Resumen
El análisis de redes sociales ofrece explicaciones valiosas para los fenómenos sociales en muchas disciplinas. Esta revisión cubre sus aplicaciones, suposiciones y objetivos para los investigadores en ciencias físicas y sociales.
Área de la Ciencia:
- Ciencias Sociales Ciencias Sociales.
- Ciencias físicas Ciencias físicas.
- La investigación interdisciplinaria es una investigación que tiene
Sus antecedentes:
- La investigación en red ha aumentado en popularidad en todas las disciplinas científicas en la última década.
- La teoría de las redes sociales proporciona explicaciones para diversos fenómenos sociales, impactando campos desde la psicología hasta la economía.
- El análisis de redes sociales (SNA) se utiliza cada vez más para comprender las estructuras e interacciones sociales.
Objetivo del estudio:
- Revisar las aplicaciones del análisis de redes sociales en las ciencias sociales.
- Describir los supuestos, objetivos y mecanismos básicos del SNA.
- Fomentar el diálogo interdisciplinario sobre los fenómenos de las redes.
Principales métodos:
- Revisión de la literatura de las aplicaciones de análisis de redes sociales.
- Síntesis de conceptos y metodologías clave en SNA.
- Identificación de marcos explicativos comunes dentro de la investigación de las redes sociales.
Principales resultados:
- La SNA se ha aplicado para explicar una amplia gama de fenómenos sociales.
- Las suposiciones comunes incluyen la importancia de las relaciones y estructuras.
- Los mecanismos explicativos a menudo se centran en la difusión, la influencia y la equivalencia estructural.
Conclusiones:
- El análisis de redes sociales es una herramienta poderosa para comprender el comportamiento social.
- Una mayor colaboración interdisciplinaria puede avanzar en la ciencia de las redes.
- Comprender los antecedentes y consecuencias de las redes es crucial para el progreso científico.
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