Modeling and analysis of epidemic dynamics on an adaptive network

  • Guo P
  • Wang Y
  • Li H
  • 1

    Readers

    Mendeley users who have this article in their library.
  • 0

    Citations

    Citations of this article.

Abstract

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.

Author-supplied keywords

  • Adaptive network
  • Co-evolution
  • Epidemic dynamics
  • Semi-tensor product of matrices

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free