Published September 2010 | Version Published
Journal Article Open

Epidemic spreading in evolving networks

  • 1. ROR icon Weizmann Institute of Science
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Santa Fe Institute
  • 4. ROR icon Budapest University of Technology and Economics

Abstract

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.

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Identifiers

Eprint ID
20378
Resolver ID
CaltechAUTHORS:20101011-112319669

Funding

Israel Science Foundation (ISF)
Hungarian Scientific Research Fund (OTKA)
PD-72604
Hungarian Scientific Research Fund (OTKA)
PD-78433
Hungarian Academy of Sciences

Dates

Created
2020-03-09
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Updated
2021-11-08
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