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Explosive Percolation in Random Networks / / by Wei Chen



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Autore: Chen Wei Visualizza persona
Titolo: Explosive Percolation in Random Networks / / by Wei Chen Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (75 p.)
Disciplina: 519.5
Soggetto topico: Probabilities
Numerical analysis
Mathematical physics
Probability Theory and Stochastic Processes
Numerical Analysis
Mathematical Applications in the Physical Sciences
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: Introduction -- Discontinuous Explosive Percolation with Multiple Giant Components -- Deriving An Underlying Mechanism for Discontinuous Percolation Transitions -- Continuous Phase Transitions in Supercritical Explosive Percolation -- Unstable Supercritical Discontinuous Percolation Transitions -- Algorithm of percolation models.
Sommario/riassunto: This thesis is devoted to the study of the Bohman-Frieze-Wormald percolation model, which exhibits a discontinuous transition at the critical threshold, while the phase transitions in random networks are originally considered to be robust continuous phase transitions. The underlying mechanism that leads to the discontinuous transition in this model is carefully analyzed and many interesting critical behaviors, including multiple giant components, multiple phase transitions, and unstable giant components are revealed. These findings should also be valuable with regard to applications in other disciplines such as physics, chemistry and biology.
Titolo autorizzato: Explosive percolation in random networks  Visualizza cluster
ISBN: 3-662-43739-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299991303321
Lo trovi qui: Univ. Federico II
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Serie: Springer Theses, Recognizing Outstanding Ph.D. Research, . 2190-5053