Schwarzkopf, Yonathan and Rákos, Attila and Mukamel, David (2010) Epidemic spreading in evolving networks. Physical Review E, 82 (3). 036112 . ISSN 1539-3755 http://resolver.caltech.edu/CaltechAUTHORS:20101011-112319669
- Published Version
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20101011-112319669
A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale free steady state networks. It is found that contrary to what one would have naively expected, the rewiring process typically tends to suppress epidemic spreading. In particular it is found, that as in static networks under a mean-field approximation, rewiring networks with degree distribution exponent γ>3 exhibit a threshold in the infection rate below which epidemics die out in the steady state. However the threshold is higher in the rewiring case. For 2<γ≤3 no such threshold exists, but for small infection rate the steady state density of infected nodes (prevalence) is smaller for rewiring networks.
|Additional Information:||© 2010 American Physical Society. Received 22 January 2010; revised 24 August 2010; published 24 September 2010. The support of the Israel Science Foundation ISF is gratefully acknowledged. We thank Oren Shriki for discussions. Y.S. thanks Aaron Clauset for computing resources. A. Rákos acknowledges financial support from the Hungarian Scientific Research Fund OTKA Grants No. PD-72604 and No. PD-78433, and from the Hungarian Academy of Sciences.|
|Classification Code:||PACS: 89.75.Fb, 89.90.+n, 05.40.-a|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Jason Perez|
|Deposited On:||11 Oct 2010 22:05|
|Last Modified:||26 Dec 2012 12:31|
Repository Staff Only: item control page