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.
%0 Journal Article
%1 citeulike:90557
%A Barabasi, A. L.
%A Albert, R.
%C Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.
%D 1999
%J Science
%K graph network properties statistics
%N 5439
%P 509--512
%T Emergence of scaling in random networks
%U http://view.ncbi.nlm.nih.gov/pubmed/10521342
%V 286
%X 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.
@article{citeulike:90557,
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.},
added-at = {2009-03-03T07:24:51.000+0100},
address = {Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.},
author = {Barabasi, A. L. and Albert, R.},
biburl = {https://www.bibsonomy.org/bibtex/28e36ff86b30d57b43045d6ad0de2c0a5/folke},
citeulike-article-id = {90557},
description = {Statistical properties of random networks},
interhash = {89d3f086051d18093558698788063dfe},
intrahash = {8e36ff86b30d57b43045d6ad0de2c0a5},
issn = {0036-8075},
journal = {Science},
keywords = {graph network properties statistics},
month = {October},
number = 5439,
pages = {509--512},
posted-at = {2006-02-08 01:49:16},
priority = {2},
timestamp = {2009-03-03T07:24:51.000+0100},
title = {Emergence of scaling in random networks},
url = {http://view.ncbi.nlm.nih.gov/pubmed/10521342},
volume = 286,
year = 1999
}