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Bioessays. 2005 Oct;27(10):1060-8.

Revisiting "scale-free" networks.

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  • Program in Science, Technology and Society, MIT, 77 Mass Ave, E51-185, Cambridge, MA 02139, USA. efkeller@mit.edu

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.

(c) 2005 Wiley Periodicals, Inc.

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PMID:
16163729
[PubMed - indexed for MEDLINE]
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