Literature DB >> 16163729

Revisiting "scale-free" networks.

Evelyn Fox Keller1.   

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.

Mesh:

Year:  2005        PMID: 16163729     DOI: 10.1002/bies.20294

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  40 in total

1.  Network architecture of the long-distance pathways in the macaque brain.

Authors:  Dharmendra S Modha; Raghavendra Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-13       Impact factor: 11.205

2.  A genome-wide map of human genetic interactions inferred from radiation hybrid genotypes.

Authors:  Andy Lin; Richard T Wang; Sangtae Ahn; Christopher C Park; Desmond J Smith
Journal:  Genome Res       Date:  2010-05-27       Impact factor: 9.043

Review 3.  Protein interaction networks in plants.

Authors:  Joachim F Uhrig
Journal:  Planta       Date:  2006-03-31       Impact factor: 4.116

4.  Structural analyses of a hypothetical minimal metabolism.

Authors:  Toni Gabaldón; Juli Peretó; Francisco Montero; Rosario Gil; Amparo Latorre; Andrés Moya
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

5.  Food-web assembly and collapse: mathematical models and implications for conservation.

Authors:  Robert M May
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

6.  In silico analysis of phosphoproteome data suggests a rich-get-richer process of phosphosite accumulation over evolution.

Authors:  Nozomu Yachie; Rintaro Saito; Junichi Sugahara; Masaru Tomita; Yasushi Ishihama
Journal:  Mol Cell Proteomics       Date:  2009-01-09       Impact factor: 5.911

7.  Universal fractal scaling of self-organized networks.

Authors:  Paul J Laurienti; Karen E Joyce; Qawi K Telesford; Jonathan H Burdette; Satoru Hayasaka
Journal:  Physica A       Date:  2011-10-01       Impact factor: 3.263

Review 8.  Architecture, constraints, and behavior.

Authors:  John C Doyle; Marie Csete
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-25       Impact factor: 11.205

9.  Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data.

Authors:  Satoru Hayasaka; Paul J Laurienti
Journal:  Neuroimage       Date:  2009-12-21       Impact factor: 6.556

10.  Social networks in the lek-mating wire-tailed manakin (Pipra filicauda).

Authors:  Thomas B Ryder; David B McDonald; John G Blake; Patricia G Parker; Bette A Loiselle
Journal:  Proc Biol Sci       Date:  2008-06-22       Impact factor: 5.349

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