Epidemic dynamics on an adaptive network

Thilo Gross, Carlos Dommar D'Lima, Bernd Blasius

Research output: Contribution to journalArticle (Academic Journal)peer-review

682 Citations (Scopus)


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.
Original languageEnglish
Article number208701
Number of pages4
JournalPhysical Review Letters
Publication statusPublished - 2006

Structured keywords

  • Engineering Mathematics Research Group


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