| Tartalom: |
http://dx.doi.org/10.1007/s00285-015-0902-3 |
| Archívum: |
MTA Könyvtár |
| Gyűjtemény: |
Status = Published
Type = Article
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| Cím: |
Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis
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| Létrehozó: |
Szabó-Solticzky, András Dávid
Berthouze, Luc
Kiss, István Zoltán
Simon L., Péter
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| Dátum: |
2015
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| Téma: |
QA Mathematics / matematika
QA74 Analysis / analízis
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| Tartalmi leírás: |
An adaptive network model using SIS epidemic propagation with link-type-dependent link activation and deletion is considered. Bifurcation analysis of the pairwise ODE approximation and the network-based stochastic simulation is carried out, showing that three typical behaviours may occur; namely, oscillations can be observed besides disease-free or endemic steady states. The oscillatory behaviour in the stochastic simulations is studied using Fourier analysis, as well as through analysing the exact master equations of the stochastic model. By going beyond simply comparing simulation results to mean-field models, our approach yields deeper insights into the observed phenomena and help better understand and map out the limitations of mean-field models. © 2015 Springer-Verlag Berlin Heidelberg
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| Típus: |
Article
PeerReviewed
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| Formátum: |
text
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| Azonosító: |
Szabó-Solticzky, András Dávid and Berthouze, Luc and Kiss, István Zoltán and Simon L., Péter (2015) Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis. JOURNAL OF MATHEMATICAL BIOLOGY. pp. 1-24. ISSN 0303-6812
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