Scientific Results

  • ID:
    publications-4492
  • Type:
    article
  • Year:
    1999
  • Authors:
    BarabΓ΅si, Albert LΓ΅szlΓ³ and BarabΓ΅si, Albert-LΓ΅szlΓ³ and Albert, RΓ©ka and Albert, RΓ©ka
  • Title:
    Emergence of Scaling in Random Networks
  • Venue/Journal:
    Science
  • DOI:
    10.1126/science.286.5439.509
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  • Technical Focus:
  • Abstract:
    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.
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