BioAcyl Corp
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Barabasi, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509–512. Added by: Dr. Enrique Feoli (07/02/2021, 00:40) Last edited by: Dr. Enrique Feoli (07/02/2021, 00:48) |
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| Resource type: Journal Article DOI: 10.1126/science.286.5439.509 ID no. (ISBN etc.): 0036-8075 BibTeX citation key: Barabasi1999 View all bibliographic details  |
Categories: BioAcyl Corp Subcategories: Network Medicine Creators: Albert, Barabasi Collection: Science |
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| Abstract |
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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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