Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2010-05-07
Phys. Rev. E 82, 036116 (2010)
Physics
Condensed Matter
Statistical Mechanics
11 pages, 8 figures, 1 appendix. To be published in Physical Review E
Scientific paper
10.1103/PhysRevE.82.036116
Adaptive networks have been recently introduced in the context of disease propagation on complex networks. They account for the mutual interaction between the network topology and the states of the nodes. Until now, existing models have been analyzed using low-complexity analytic formalisms, revealing nevertheless some novel dynamical features. However, current methods have failed to reproduce with accuracy the simultaneous time evolution of the disease and the underlying network topology. In the framework of the adaptive SIS model of Gross et al. [Phys. Rev. Lett. 96, 208701 (2006)], we introduce an improved compartmental formalism able to handle this coevolutionary task successfully. With this approach, we analyze the interplay and outcomes of both dynamical elements, process and structure, on adaptive networks featuring different degree distributions at the initial stage.
Allard Antoine
Dube' Louis J.
Hébert-Dufresne Laurent
Marceau Vincent
Noël Pierre-André
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