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arxiv: 1712.01301 · v1 · pith:SKBXXUZTnew · submitted 2017-12-04 · 🧮 math.CO · math.PR

Asymptotic properties of random unlabelled block-weighted graphs

classification 🧮 math.CO math.PR
keywords randomgraphsasymptoticconnectedconvergegraphlimitunlabelled
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We study the asymptotic shape of random unlabelled graphs subject to certain subcriticality conditions. The graphs are sampled with probability proportional to a product of Boltzmann weights assigned to their $2$-connected components. As their number of vertices tends to infinity, we show that they admit the Brownian tree as Gromov--Hausdorff--Prokhorov scaling limit, and converge in a strengthened Benjamini--Schramm sense toward an infinite random graph. We also consider a family of random graphs that are allowed to be disconnected. Here a giant connected component emerges and the small fragments converge without any rescaling towards a finite random limit graph.

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