Literature DB >> 11384508

Degree distributions of growing networks.

P L Krapivsky1, G J Rodgers, S Redner.   

Abstract

The in-degree and out-degree distributions of a growing network model are determined. The in-degree is the number of incoming links to a given node (and vice versa for out-degree). The network is built by (i) creation of new nodes which each immediately attach to a preexisting node, and (ii) creation of new links between preexisting nodes. This process naturally generates correlated in-degree and out-degree distributions. When the node and link creation rates are linear functions of node degree, these distributions exhibit distinct power-law forms. By tuning the parameters in these rates to reasonable values, exponents which agree with those of the web graph are obtained.

Year:  2001        PMID: 11384508     DOI: 10.1103/PhysRevLett.86.5401

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  9 in total

1.  Edge direction and the structure of networks.

Authors:  Jacob G Foster; David V Foster; Peter Grassberger; Maya Paczuski
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-26       Impact factor: 11.205

2.  Power-law distribution of degree-degree distance: A better representation of the scale-free property of complex networks.

Authors:  Bin Zhou; Xiangyi Meng; H Eugene Stanley
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3.  Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin.

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4.  Emergence of scale-free close-knit friendship structure in online social networks.

Authors:  Ai-Xiang Cui; Zi-Ke Zhang; Ming Tang; Pak Ming Hui; Yan Fu
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

5.  Discriminative topological features reveal biological network mechanisms.

Authors:  Manuel Middendorf; Etay Ziv; Carter Adams; Jen Hom; Robin Koytcheff; Chaya Levovitz; Gregory Woods; Linda Chen; Chris Wiggins
Journal:  BMC Bioinformatics       Date:  2004-11-22       Impact factor: 3.169

6.  Modeling of information diffusion in Twitter-like social networks under information overload.

Authors:  Pei Li; Wei Li; Hui Wang; Xin Zhang
Journal:  ScientificWorldJournal       Date:  2014-03-23

7.  Topological constraints on network control profiles.

Authors:  Colin Campbell; Justin Ruths; Derek Ruths; Katriona Shea; Réka Albert
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

8.  A big world inside small-world networks.

Authors:  Zhihua Zhang; Jianzhi Zhang
Journal:  PLoS One       Date:  2009-05-25       Impact factor: 3.240

9.  Uncovering the role of elementary processes in network evolution.

Authors:  Gourab Ghoshal; Liping Chi; Albert-László Barabási
Journal:  Sci Rep       Date:  2013-10-10       Impact factor: 4.379

  9 in total

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