2010/05/31 by Vincent Marceau, Pierre-André Noël, Laurent Hébert-Dufresne +2 · 2 citations
Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #cond-mat.stat-mech #physics.soc-ph #q-bio.PE
paper · pdf · doi:10.1103/physreve.82.036116
published as Phys. Rev. E 82, 036116 (2010) · 11 pages, 8 figures, 1 appendix. To be published in Physical Review E
arxiv created 2010/09/10 · arxiv updated 2010/09/28
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.