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Cited by 338

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Impact of Non-Poissonian Activity Patterns on Spreading Processes

Open access
Vazquez, Alexei, Rácz, Balázs, Lukács, András, Barabási, Albert-László·2007·Physical Review Letters

Abstract

Halting a computer or biological virus outbreak requires a detailed understanding of the timing of the interactions between susceptible and infected individuals. While current spreading models assume that users interact uniformly in time, following a Poisson process, a series of recent measurements indicates that the intercontact time distribution is heavy tailed, corresponding to a temporally inhomogeneous bursty contact process. Here we show that the non-Poisson nature of the contact dynamics results in prevalence decay times significantly larger than predicted by the standard Poisson process based models. Our predictions are in agreement with the detailed time resolved prevalence data of computer viruses, which, according to virus bulletins, show a decay time close to a year, in contrast with the 1 day decay predicted by the standard Poisson process based models.

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Research works printed but not linked: 23

  1. 10.1103/PhysRevLett.86.3200 · DOI · Paper page
  2. R. M. Anderson, 1991, Infectious Diseases of Humans, 10.1093/oso/9780198545996.001.0001 · DOI · Paper page
  3. 10.1007/s10051-002-8996-y · doi:10.1007/s10051-002-8996-y
  4. 10.1103/PhysRevLett.92.178701 · DOI · Paper page
  5. 10.1016/j.physrep.2005.10.009 · DOI · Paper page
  6. 10.1103/PhysRevE.69.066130 · DOI · Paper page
  7. R. Pastor-Satorras, 2004, Evolution and Structure of the Internet: A Statistical Physics Approach, 10.1017/CBO9780511610905 · DOI · Paper page
  8. 10.1073/pnas.0405728101 · DOI · Paper page
  9. 10.1016/j.physa.2004.02.054 · DOI
  10. 10.1103/PhysRevE.73.036127 · DOI · Paper page
  11. 10.1038/4371251a · DOI · Paper page
  12. 10.1016/j.physa.2006.04.060 · DOI
  13. 10.1103/PhysRevLett.95.248701 · DOI
  14. W. Feller, 1966, An Introduction to Probability Theory and its Applications, 10.1063/1.3062516 · DOI · Paper page
  15. 10.1103/PhysRevE.66.035103 · DOI · Paper page
  16. 10.1103/PhysRevLett.96.038702 · DOI
  17. 10.1103/PhysRevE.62.R3023 · DOI · Paper page
  18. 10.1103/PhysRevE.67.021112 · DOI · Paper page
  19. 10.1016/S0378-4371(01)00202-3 · DOI
  20. T. Henderson, 2001, Proceedings of the Ninth ACM International Conference on Multimedia, Ottawa, Canada, 2001
  21. 10.1016/j.physa.2005.06.079 · DOI
  22. 10.1038/nature04292 · DOI · Paper page
  23. 10.1073/pnas.0510525103 · DOI · Paper page

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Metadata

Authors
Vazquez, A., Rácz, B., Lukács, A., & Barabási, A.-L.
Venue
Physical Review Letters
Published
2007-04-10
Volume
98
Issue
15
Pages
158702-158702
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2084538642
Cited by
338
References
2
FWCI
8.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Impact of Non-Poissonian Activity Patterns on Spreading Processes. https://app.cochat.ai/papers/10.1103/physrevlett.98.158702
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Vazquez, A., Rácz, B., Lukács, A., & Barabási, A.-L. (2007). Impact of Non-Poissonian Activity Patterns on Spreading Processes. Physical Review Letters. https://doi.org/10.1103/physrevlett.98.158702

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