Literature DB >> 16204384

The "robust yet fragile" nature of the Internet.

John C Doyle1, David L Alderson, Lun Li, Steven Low, Matthew Roughan, Stanislav Shalunov, Reiko Tanaka, Walter Willinger.   

Abstract

The search for unifying properties of complex networks is popular, challenging, and important. For modeling approaches that focus on robustness and fragility as unifying concepts, the Internet is an especially attractive case study, mainly because its applications are ubiquitous and pervasive, and widely available exposition exists at every level of detail. Nevertheless, alternative approaches to modeling the Internet often make extremely different assumptions and derive opposite conclusions about fundamental properties of one and the same system. Fortunately, a detailed understanding of Internet technology combined with a unique ability to measure the network means that these differences can be understood thoroughly and resolved unambiguously. This article aims to make recent results of this process accessible beyond Internet specialists to the broader scientific community and to clarify several sources of basic methodological differences that are relevant beyond either the Internet or the two specific approaches focused on here (i.e., scale-free networks and highly optimized tolerance networks).

Year:  2005        PMID: 16204384      PMCID: PMC1240072          DOI: 10.1073/pnas.0501426102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  9 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  The large-scale organization of metabolic networks.

Authors:  H Jeong; B Tombor; R Albert; Z N Oltvai; A L Barabási
Journal:  Nature       Date:  2000-10-05       Impact factor: 49.962

3.  Error and attack tolerance of complex networks

Authors: 
Journal:  Nature       Date:  2000-07-27       Impact factor: 49.962

4.  Complexity and robustness.

Authors:  J M Carlson; John Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

5.  Assortative mixing in networks.

Authors:  M E J Newman
Journal:  Phys Rev Lett       Date:  2002-10-28       Impact factor: 9.161

6.  Modeling the Internet's large-scale topology.

Authors:  Soon-Hyung Yook; Hawoong Jeong; Albert-Laszlo Barabasi
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-04       Impact factor: 11.205

7.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

8.  Bow ties, metabolism and disease.

Authors:  Marie Csete; John Doyle
Journal:  Trends Biotechnol       Date:  2004-09       Impact factor: 19.536

9.  Scale-rich metabolic networks.

Authors:  Reiko Tanaka
Journal:  Phys Rev Lett       Date:  2005-04-25       Impact factor: 9.161

  9 in total
  42 in total

1.  A model of Internet topology using k-shell decomposition.

Authors:  Shai Carmi; Shlomo Havlin; Scott Kirkpatrick; Yuval Shavitt; Eran Shir
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

2.  Between "design" and "bricolage": genetic networks, levels of selection, and adaptive evolution.

Authors:  Adam S Wilkins
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

3.  Emergence of tempered preferential attachment from optimization.

Authors:  Raissa M D'Souza; Christian Borgs; Jennifer T Chayes; Noam Berger; Robert D Kleinberg
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-29       Impact factor: 11.205

4.  Systems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks.

Authors:  Soumen Roy
Journal:  Syst Synth Biol       Date:  2012-05-29

5.  Evolutionary constraint and adaptation in the metabolic network of Drosophila.

Authors:  Anthony J Greenberg; Sarah R Stockwell; Andrew G Clark
Journal:  Mol Biol Evol       Date:  2008-09-17       Impact factor: 16.240

6.  An evolving model of undirected networks based on microscopic biological interaction systems.

Authors:  Lu Tan; Jianhua Zhang; Lu Jiang
Journal:  J Biol Phys       Date:  2009-03-27       Impact factor: 1.365

Review 7.  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

8.  From evidence to inference: probing the evolution of protein interaction networks.

Authors:  Oliver Ratmann; Carsten Wiuf; John W Pinney
Journal:  HFSP J       Date:  2009-10-19

9.  Modeling the impact of lesions in the human brain.

Authors:  Jeffrey Alstott; Michael Breakspear; Patric Hagmann; Leila Cammoun; Olaf Sporns
Journal:  PLoS Comput Biol       Date:  2009-06-12       Impact factor: 4.475

10.  Structure of protein interaction networks and their implications on drug design.

Authors:  Takeshi Hase; Hiroshi Tanaka; Yasuhiro Suzuki; So Nakagawa; Hiroaki Kitano
Journal:  PLoS Comput Biol       Date:  2009-10-30       Impact factor: 4.475

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