TY - JOUR
T1 - Epidemic dynamics on an adaptive network
AU - Gross, Thilo
AU - D'Lima, Carlos Dommar
AU - Blasius, Bernd
PY - 2006
Y1 - 2006
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 infected by rewiring their network connections. This gives rise to assortative degree correlation, oscillations, hysteresis and 1st 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.
AB - 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 infected by rewiring their network connections. This gives rise to assortative degree correlation, oscillations, hysteresis and 1st 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.
U2 - 10.1103/PhysRevLett.96.208701
DO - 10.1103/PhysRevLett.96.208701
M3 - Article (Academic Journal)
VL - 96
JO - Physical Review Letters
JF - Physical Review Letters
SN - 0031-9007
M1 - 208701
ER -