Literature DB >> 16849212

The evolution of network topology by selective removal.

Marcel Salathé1, Robert M May, Sebastian Bonhoeffer.   

Abstract

The topology of large social, technical and biological networks such as the World Wide Web or protein interaction networks has caught considerable attention in the past few years (reviewed in Newman 2003), and analysis of the structure of such networks revealed that many of them can be classified as broad-tailed, scale-free-like networks, since their vertex connectivities follow approximately a power-law. Preferential attachment of new vertices to highly connected vertices is commonly seen as the main mechanism that can generate scale-free connectivity in growing networks (Watts 2004). Here, we propose a new model that can generate broad-tailed networks even in the absence of network growth, by not only adding vertices, but also selectively eliminating vertices with a probability that is inversely related to the sum of their first- and second order connectivity.

Mesh:

Year:  2005        PMID: 16849212      PMCID: PMC1618506          DOI: 10.1098/rsif.2005.0072

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  6 in total

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6.  Structure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplications.

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  6 in total
  5 in total

1.  Modelling protein-protein interaction networks via a stickiness index.

Authors:  Natasa Przulj; Desmond J Higham
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

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Authors:  Petter Holme
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

5.  Emergent Network Topology within the Respiratory Rhythm-Generating Kernel Evolved In Silico.

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Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

  5 in total

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