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Approaching the thermodynamic limit in equilibrated scale-free networks

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Original languageEnglish
Article number061125
Pages (from-to)-
Number of pages9
JournalPhysical Review E - Statistical, Nonlinear and Soft Matter Physics
Volume78
Issue number6
DOIs
Publication statusPublished - Dec 2008

Abstract

We discuss how various models of scale-free complex networks approach their limiting properties when the size N of the network grows. We focus mainly on equilibrated networks and their finite-size degree distributions. Our results show that the position of the cutoff in the degree distribution, k(cutoff), scales with N in a different way than predicted for N ->infinity; that is, subleading corrections to the scaling k(cutoff)similar to N-alpha are strong even for networks of order N similar to 10(9) nodes. We observe also a logarithmic correction to the scaling for degenerated graphs with the degree distribution pi(k)similar to k(-3). On the other hand, the distribution of the maximal degree k(max) may have a different scaling than the cutoff and, moreover, it approaches the thermodynamic limit much faster. We argue that k(max)similar to N-alpha' with an exponent alpha(')=min[alpha,1/(gamma-1)], where gamma is the exponent in the power law pi(k)similar to k(-gamma). We also present some results on the cutoff function and the distribution of the maximal degree in equilibrated networks.

    Research areas

  • complex networks, thermodynamics, STATISTICAL-MECHANICS, RANDOM GRAPHS, GROWING NETWORKS, CONDENSATION, MODEL

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