Limiting distributions of triangle counts in linear preferential attachment models

Fuente: arXiv
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Autori principali: Dey, Partha S., Terlov, Grigory
Natura: Preprint
Pubblicazione: 2026
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author Dey, Partha S.
Terlov, Grigory
author_facet Dey, Partha S.
Terlov, Grigory
contents We derive distributional approximations for the number of triangles in the linear preferential attachment model $\mathrm{PAM}(m,δ)$, where $m\ge 2$ and $δ>-m$, with explicit rates of convergence. The limiting distribution undergoes a phase transition from Gaussian to another nontrivial distribution, which we characterize explicitly. The asymptotic behavior is governed by the interplay between the hidden random environment and the mean-field interaction effect. In particular, our analysis also yields a continuous phase transition in the expected number of triangles as $δ$ varies.
format Preprint
id arxiv_https___arxiv_org_abs_2605_28776
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Limiting distributions of triangle counts in linear preferential attachment models
Dey, Partha S.
Terlov, Grigory
Probability
Combinatorics
We derive distributional approximations for the number of triangles in the linear preferential attachment model $\mathrm{PAM}(m,δ)$, where $m\ge 2$ and $δ>-m$, with explicit rates of convergence. The limiting distribution undergoes a phase transition from Gaussian to another nontrivial distribution, which we characterize explicitly. The asymptotic behavior is governed by the interplay between the hidden random environment and the mean-field interaction effect. In particular, our analysis also yields a continuous phase transition in the expected number of triangles as $δ$ varies.
title Limiting distributions of triangle counts in linear preferential attachment models
topic Probability
Combinatorics
url https://arxiv.org/abs/2605.28776