Expected degree of finite preferential attachment networks

preprint2014arXivOpen access

Abstract

We provide an analytic expression for the quantity described in the title. Namely, we perform a preferential attachment growth process to generate a scale-free network. At each stage we add a new node with mm new links. Let kk denote the degree of a node, and NN the number of nodes in the network. The degree distribution is assumed to converge to a power-law (for k≥mk\geq m) of the form k−γk^{-γ} and we obtain an exact implicit relationship for γγ, mm and NN. We verify this with numerical calculations over several orders of magnitude. Although this expression is exact, it provides only an implicit expression for γ(m)γ(m). Nonetheless, we provide a reasonable guess as to the form of this curve and perform curve fitting to estimate the parameters of that curve --- demonstrating excellent agreement between numerical fit, theory, and simulation.

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