Literature DB >> 10521342

Emergence of scaling in random networks

.   

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.

Year:  1999        PMID: 10521342     DOI: 10.1126/science.286.5439.509

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  2000 in total

1.  Probabilistic prediction of unknown metabolic and signal-transduction networks.

Authors:  S M Gomez; S H Lo; A Rzhetsky
Journal:  Genetics       Date:  2001-11       Impact factor: 4.562

2.  Language as an evolving word web.

Authors:  S N Dorogovtsev; J F Mendes
Journal:  Proc Biol Sci       Date:  2001-12-22       Impact factor: 5.349

3.  The identification of functional modules from the genomic association of genes.

Authors:  Berend Snel; Peer Bork; Martijn A Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

4.  Curvature of co-links uncovers hidden thematic layers in the World Wide Web.

Authors:  Jean-Pierre Eckmann; Elisha Moses
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

5.  Large extinctions in an evolutionary model: the role of innovation and keystone species.

Authors:  Sanjay Jain; Sandeep Krishna
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

6.  Random graph models of social networks.

Authors:  M E J Newman; D J Watts; S H Strogatz
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

7.  Classes of small-world networks.

Authors:  L A Amaral; A Scala; M Barthelemy; H E Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

8.  Assessing experimentally derived interactions in a small world.

Authors:  Debra S Goldberg; Frederick P Roth
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-03       Impact factor: 11.205

9.  Growing and navigating the small world Web by local content.

Authors:  Filippo Menczer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-14       Impact factor: 11.205

10.  Expanding protein universe and its origin from the biological Big Bang.

Authors:  Nikolay V Dokholyan; Boris Shakhnovich; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-16       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.