Samenvatting
We consider spin models on complex networks frequently used to model social and technological systems. We study the annealed ferromagnetic Ising model for random networks with either independent edges (Erdős-Rényi) or prescribed degree distributions (configuration model). Contrary to many physical models, the annealed setting is poorly understood and behaves quite differently than the quenched system. In annealed networks with a fluctuating number of edges, the Ising model changes the degree distribution, an aspect previously ignored. For random networks with Poissonian degrees, this gives rise to three distinct annealed critical temperatures depending on the precise model choice, only one of which reproduces the quenched one. In particular, two of these annealed critical temperatures are finite even when the quenched one is infinite because then the annealed graph creates a giant component for all sufficiently small temperatures. We see that the critical exponents in the configuration model with deterministic degrees are the same as the quenched ones, which are the mean-field exponents if the degree distribution has finite fourth moment and power-law-dependent critical exponents otherwise. Remarkably, the annealing for the configuration model with random independent and identically distributed degrees washes away the universality class with power-law critical exponents.
Originele taal-2 | Engels |
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Artikelnummer | 024128 |
Aantal pagina's | 7 |
Tijdschrift | Physical Review E |
Volume | 105 |
Nummer van het tijdschrift | 2 |
DOI's | |
Status | Gepubliceerd - 1 feb. 2022 |
Bibliografische nota
Publisher Copyright:© 2022 American Physical Society.
Financiering
We thank J. F. F. Mendes for useful discussions. R.v.d.H. acknowledges financial support from Gravitation Grant No. NETWORKS-024.002.003. C. Giardinà and C. Giberti acknowledge funding from INDAM-GNFM. C. Giberti acknowledges funding from the Interdipartimental Centers of the University of Modena and Reggio Emilia InterMech-MO.RE and En&Tech. The work of Van Hao Can is funded by the Vietnam Academy of Science and Technology under Grant No. CTTH00.02/22-23.