Difference between revisions of "Emergence of scaling in random networks"
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== Citation == | == Citation == | ||
A.L.Barabasi, Reka Albert. Emergence of scaling in random networks. Science. 509-512 | A.L.Barabasi, Reka Albert. Emergence of scaling in random networks. Science. 509-512 | ||
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| + | == On line Version == | ||
| + | [http://en.wikipedia.org/wiki/Barab%C3%A1si%E2%80%93Albert_model] | ||
== Abstract == | == 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. | 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. | ||
Revision as of 02:40, 4 February 2011
Citation
A.L.Barabasi, Reka Albert. Emergence of scaling in random networks. Science. 509-512
On line Version
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.
