Degree-distribution convergence to BB(m) in regime R2

Let mNm\in\mathbb{N}, let GtG_t be a graph in Regime R2R2, and let degt\mathbf{\deg}_t be its empirical degree distribution. Let degtBB(m)\mathbf{\deg}_t^{BB(m)} be the empirical degree distribution of a BB(m)BB(m) model with the same parameter mm. Degree-distribution convergence conjecture in R2R2. Almost surely in the fitness realisation of GtG_t,

limtdTV(degt,degtBB(m))=0.\lim_{t\to\infty}d_{TV}(\mathbf{\deg}_t,\mathbf{\deg}_t^{BB(m)})=0.

This proposes that the degree distribution in Regime R2R2 has the BB(m)BB(m) benchmark as its asymptotic limit in total variation. The claim is supported numerically and remains unproved in the supplied text.

Sources & referencesView supporting material

Primary source

Alessandra Cipriani and Andrea Fontanari, “Dynamical fitness models: evidence of universality classes for preferential attachment graphs”, arXiv:1911.12402 (2019).

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