This article has an erratum: [https://doi.org/10.1209/0295-5075/100/69901]
Volume 97, Number 1, February 2012
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||03 January 2012|
The structure of coevolving infection networks
Centro de Física da Matéria Condensada and Departamento de Física, Faculdade de Ciências da Universidade de Lisboa - P-1649-003 Lisboa, Portugal, EU
2 Centro de Matemática e Aplicações Fundamentais, Faculdade de Ciências da Universidade de Lisboa P-1649-003 Lisboa, Portugal, EU
Accepted: 21 November 2011
Disease awareness in infection dynamics can be modeled with adaptive contact networks whose rewiring rules reflect the attempt by susceptibles to avoid infectious contacts. Simulations of this type of models show an active phase with constant infected node density in which the interplay of disease dynamics and link rewiring prompts the convergence towards a well-defined degree distribution, irrespective of the initial network topology. We develop a method to study this dynamic equilibrium and give an analytic description of the structure of the characteristic degree distribution and other network measures. The method applies to a broad class of systems and can be used to determine the steady-state topology of many other adaptive networks.
PACS: 89.75.Fb – Structures and organization in complex systems / 87.10.Mn – Stochastic modeling / 05.10.Gg – Stochastic analysis methods (Fokker-Planck, Langevin, etc.)
© EPLA, 2012
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.