Cargando…
Predicting critical transitions in assortative spin-shifting networks
Methods to forecast critical transitions, i.e. abrupt changes in systems’ equilibrium states have relevance in scientific fields such as ecology, seismology, finance and medicine among others. So far, the bulk of investigations on forecasting methods builds on equation-based modeling methods, which...
Autores principales: | Füllsack, Manfred, Reisinger, Daniel, Adam, Raven, Kapeller, Marie, Jäger, Georg |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934323/ https://www.ncbi.nlm.nih.gov/pubmed/36795743 http://dx.doi.org/10.1371/journal.pone.0275183 |
Ejemplares similares
-
Critical transitions in degree mixed networks: A discovery of forbidden tipping regions in networked spin systems
por: Reisinger, Daniel, et al.
Publicado: (2022) -
Correction: Critical transitions in degree mixed networks: A discovery of forbidden tipping regions in networked spin systems
por: Reisinger, Daniel, et al.
Publicado: (2023) -
Modular tipping points: How local network structure impacts critical transitions in networked spin systems
por: Reisinger, Daniel, et al.
Publicado: (2023) -
Early warning signals from the periphery: A model suggestion for the study of critical transitions
por: Füllsack, Manfred, et al.
Publicado: (2021) -
Hidden early-warning signals in scale-free networks
por: Jäger, Georg, et al.
Publicado: (2017)