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| DOI | 10.1016/J.JCTB.2024.03.002 | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
In this paper, we study the order of the largest connected component of a random graph having two sources of randomness: first, the graph is chosen randomly from all graphs with a given degree sequence, and then bond percolation is applied. Far from being able to classify all such degree sequences, we exhibit several new threshold phenomena for the order of the largest component in terms of both sources of randomness. We also provide an example of a degree sequence for which the order of the largest component undergoes an unbounded number of jumps in terms of the percolation parameter, giving rise to a behavior that cannot be observed without percolation. (c) 2024 Elsevier Inc. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Lichev, Lyuben | Hombre |
Univ Jean Monnet - Francia
Institut Camille Jordan - Francia |
| 2 | Mitsche, Dieter | Hombre |
Univ Jean Monnet - Francia
Pontificia Universidad Católica de Chile - Chile Institut Camille Jordan - Francia |
| 3 | Perarnau, Guillem | - |
Univ Politecn Cataluna - España
Ctr Recerca Matemat - España Universitat Politècnica de Catalunya - España Centre de Recerca Matemàtica - España |
| Fuente |
|---|
| FONDECYT |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| GrHyDy |
| MICIU/AEI |
| Severo Ochoa and Maria de Maeztu Program for Centres and Units of Excellence in RD |
| Agradecimiento |
|---|
| DM has been supported by FONDECYT grant 1220174 and by GrHyDy ANR-20-CE40-0002. GP was supported by MICIU/AEI/10.13039/501100011033 under projects PID2020-113082GB-I00, RED2022-134947-T and the Severo Ochoa and Maria de Maeztu Program for Centres and Units of Excellence in R&D (CEX2020-001084-M) . |
| DM has been supported by FONDECYT grant 1220174 and by GrHyDy ANR-20-CE40-0002.GP was supported by MICIU/AEI/10.13039/501100011033 under projects PID2020-113082GB-I00, RED2022-134947-T and the Severo Ochoa and María de Maeztu Program for Centres and Units of Excellence in R&D (CEX2020-001084-M). |