Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a ” universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. BioEssays 27:1060–1068, 2005. \copyright 2005 Wiley Periodicals, Inc.
%0 Journal Article
%1 Keller2005
%A Keller, Evelyn Fox
%D 2005
%I Wiley Subscription Services, Inc., A Wiley Company
%J Bioessays
%K data-analysis graphs networks power-laws scale-free
%N 10
%P 1060--1068
%R 10.1002/bies.20294
%T Revisiting ” scale-free” networks
%V 27
%X Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a ” universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. BioEssays 27:1060–1068, 2005. \copyright 2005 Wiley Periodicals, Inc.
@article{Keller2005,
abstract = {Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a ” universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. {BioEssays} 27:1060–1068, 2005. {\copyright} 2005 Wiley Periodicals, Inc.},
added-at = {2011-06-09T18:38:37.000+0200},
author = {Keller, Evelyn Fox},
biburl = {https://www.bibsonomy.org/bibtex/2ee7c9da332b03f7c5871610552c28a25/rincedd},
doi = {10.1002/bies.20294},
interhash = {4ffdf4c006885f2b8ceee8f24210ff0d},
intrahash = {ee7c9da332b03f7c5871610552c28a25},
journal = {Bioessays},
keywords = {data-analysis graphs networks power-laws scale-free},
number = 10,
pages = {1060--1068},
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
timestamp = {2011-06-09T18:38:37.000+0200},
title = {Revisiting ” scale-free” networks},
volume = 27,
year = 2005
}