Literature DB >> 15697680

How to simulate the quasistationary state.

Marcelo Martins de Oliveira1, Ronald Dickman.   

Abstract

For a large class of processes with an absorbing state, statistical properties of the surviving sample attain time-independent values in the quasistationary (QS) regime. We propose a practical simulation method for studying quasistationary properties, based on the equation of motion governing the QS distribution. In applications to the contact process, the method is shown to reproduce exact results (for the process on a complete graph) and known scaling behavior to high precision. At the critical point, our method is about an order of magnitude more efficient than conventional simulation.

Entities:  

Year:  2005        PMID: 15697680     DOI: 10.1103/PhysRevE.71.016129

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  12 in total

1.  Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm.

Authors:  Guillaume St-Onge; Jean-Gabriel Young; Laurent Hébert-Dufresne; Louis J Dubé
Journal:  Comput Phys Commun       Date:  2019-02-19       Impact factor: 4.390

2.  Universal Nonlinear Infection Kernel from Heterogeneous Exposure on Higher-Order Networks.

Authors:  Guillaume St-Onge; Hanlin Sun; Antoine Allard; Laurent Hébert-Dufresne; Ginestra Bianconi
Journal:  Phys Rev Lett       Date:  2021-10-08       Impact factor: 9.185

3.  Griffiths phases and localization in hierarchical modular networks.

Authors:  Géza Ódor; Ronald Dickman; Gergely Ódor
Journal:  Sci Rep       Date:  2015-09-24       Impact factor: 4.379

4.  Environmental unpredictability and inbreeding depression select for mixed dispersal syndromes.

Authors:  Jorge Hidalgo; Rafael Rubio de Casas; Miguel Á Muñoz
Journal:  BMC Evol Biol       Date:  2016-04-05       Impact factor: 3.260

5.  The advantage of being slow: The quasi-neutral contact process.

Authors:  Marcelo Martins de Oliveira; Ronald Dickman
Journal:  PLoS One       Date:  2017-08-14       Impact factor: 3.240

6.  Sampling methods for the quasistationary regime of epidemic processes on regular and complex networks.

Authors:  Renan S Sander; Guilherme S Costa; Silvio C Ferreira
Journal:  Phys Rev E       Date:  2016-10-14       Impact factor: 2.529

7.  Computational model of a vector-mediated epidemic.

Authors:  Adriana Gomes Dickman; Ronald Dickman
Journal:  Am J Phys       Date:  2015-05       Impact factor: 1.022

8.  Dynamical correlations and pairwise theory for the symbiotic contact process on networks.

Authors:  Marcelo M de Oliveira; Sidiney G Alves; Silvio C Ferreira
Journal:  Phys Rev E       Date:  2019-11       Impact factor: 2.529

9.  Impact of environmental colored noise in single-species population dynamics.

Authors:  Tommaso Spanio; Jorge Hidalgo; Miguel A Muñoz
Journal:  Phys Rev E       Date:  2017-10-02       Impact factor: 2.529

10.  Collective versus hub activation of epidemic phases on networks.

Authors:  Silvio C Ferreira; Renan S Sander; Romualdo Pastor-Satorras
Journal:  Phys Rev E       Date:  2016-03-14       Impact factor: 2.529

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