Approximating the Cumulant Generating Function of Triangles in the Erdös–Rényi Random Graph
Articolo
Data di Pubblicazione:
2021
Citazione:
Approximating the Cumulant Generating Function of Triangles in the Erdös–Rényi Random Graph / Giardinà, Cristian; Giberti, Claudio; Magnanini, Elena. - In: JOURNAL OF STATISTICAL PHYSICS. - ISSN 0022-4715. - 182:2(2021), pp. 1-22. [10.1007/s10955-021-02707-3]
Abstract:
We study the pressure of the “edge-triangle model”, which is equivalent to the cumulant
generating function of triangles in the Erdös–Rényi random graph. The investigation involves
a population dynamics method on finite graphs of increasing volume, as well as a discretization
of the graphon variational problem arising in the infinite volume limit. As a result, we
locate a curve in the parameter space where a one-step replica symmetry breaking transition
occurs. Sampling a large graph in the broken symmetry phase is well described by a graphon
with a structure very close to the one of an equi-bipartite graph.
generating function of triangles in the Erdös–Rényi random graph. The investigation involves
a population dynamics method on finite graphs of increasing volume, as well as a discretization
of the graphon variational problem arising in the infinite volume limit. As a result, we
locate a curve in the parameter space where a one-step replica symmetry breaking transition
occurs. Sampling a large graph in the broken symmetry phase is well described by a graphon
with a structure very close to the one of an equi-bipartite graph.
Tipologia CRIS:
Articolo su rivista
Keywords:
Edge-triangle model; Ensemble equivalence; Erdös–Rényi random graph; Graphs limits; Phase transition; Rare events simulations;
Elenco autori:
Giardinà, Cristian; Giberti, Claudio; Magnanini, Elena
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