Epidemic dynamics on an adaptive network
- 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 details: | Thilo GrossORCiDGND, Carlos J. Dommar D'Lima, Bernd BlasiusORCiDGND |
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URL: | http://prl.aps.org/ |
DOI: | https://doi.org/10.1103/Physrevlett.96.208701 |
ISSN: | 0031-9007 |
Publication type: | Article |
Language: | English |
Year of first publication: | 2006 |
Publication year: | 2006 |
Release date: | 2017/03/24 |
Source: | Physical review letters. - ISSN 0031-9007. - 96 (2006), 20 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
Peer review: | Referiert |
Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik |