TY  - JOUR
A1  - Gross, Thilo
A1  - D'Lima, Carlos J. Dommar
A1  - Blasius, Bernd
T1  - Epidemic dynamics on an adaptive network
N2  - Many real-world networks are characterized by adaptive changes in their topology depending on the state of their nodes. Here we study epidemic dynamics on an adaptive network, where the susceptibles are able to avoid contact with the infected by rewiring their network connections. This gives rise to assortative degree correlation, oscillations, hysteresis, and first order transitions. We propose a low-dimensional model to describe the system and present a full local bifurcation analysis. Our results indicate that the interplay between dynamics and topology can have important consequences for the spreading of infectious diseases and related applications
Y1  - 2006
UR  - http://prl.aps.org/
U6  - https://doi.org/10.1103/Physrevlett.96.208701
SN  - 0031-9007
ER  -