Emergence of Scaling in Random Networks

• Albert-László Barabási

  Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.

• Réka Albert

  Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.

抄録

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.

収録刊行物

• Science

  Science 286 (5439), 509-512, 1999-10-15

  American Association for the Advancement of Science (AAAS)

キーワード

• Multidisciplinary

詳細情報

• CRID: 1362262943497590272
• NII論文ID: 80011397138
• DOI: 10.1126/science.286.5439.509
• ISSN: 10959203
• ISSN: 00368075
• ISSN: http://id.crossref.org/issn/00368075
• Web Site: https://www.science.org/doi/pdf/10.1126/science.286.5439.509
• データソース種別:
  • Crossref
  • CiNii Articles