Vidal's libraryTitle: | Emergence of scaling in random networks |
Author: | Albert-László Barabási and Réka Albert |
Journal: | Science |
Volume: | 286 |
Pages: | 509--512 |
Year: | 1999 |
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. |
Cited by 2901 - Google Scholar
@Article{barabasi99a,
author = {Albert-L\'{a}szl\'{o} Barab\'{a}si and R\'{e}ka
Albert},
title = {Emergence of scaling in random networks},
journal = {Science},
year = 1999,
volume = 286,
pages = {509--512},
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.},
url = {http://jmvidal.cse.sc.edu/library/barabasi99a.pdf},
cluster = {656670982446636554},
keywords = {social complexity networks}
}
Last modified: Wed Mar 9 10:14:49 EST 2011