Literature DB >> 17677140

Finite-size effects in Barabási-Albert growing networks.

B Waclaw1, I M Sokolov.   

Abstract

We investigate the influence of the network's size on the degree distribution pi k in Barabási-Albert model of growing network with initial attractiveness. Our approach based on moments of pi k allows us to treat analytically several variants of the model and to calculate the cutoff function, giving finite-size corrections to pi k. We study the effect of initial configuration as well as of addition of more than one link per time step. The results indicate that asymptotic properties of the cutoff depend only on the exponent gamma in the power-law describing the tail of the degree distribution. The method presented in this paper is very general and can be applied to other growing networks.

Year:  2007        PMID: 17677140     DOI: 10.1103/PhysRevE.75.056114

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Two universal physical principles shape the power-law statistics of real-world networks.

Authors:  Tom Lorimer; Florian Gomez; Ruedi Stoop
Journal:  Sci Rep       Date:  2015-07-23       Impact factor: 4.379

  1 in total

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