Emergence of Scaling in Random Networks

• Autores: Albert-László Barabási, Reka Albert
• Localización: Science, ISSN 0036-8075, Vol. 286, Nº 5439, 1999, págs. 509-512
• Idioma: inglés
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• Dialnet Métricas: 71 Citas
• Resumen

  • Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.