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Cited by 1,682

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Epidemic dynamics and endemic states in complex networks

Open access
Pastor-Satorras, Romualdo, Vespignani, Alessandro·2001·Physical Review E

Abstract

We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence is null. On the contrary, on a wide range of scale-free networks we observe the absence of an epidemic threshold and its associated critical behavior. This implies that scale-free networks are prone to the spreading and the persistence of infections whatever spreading rate the epidemic agents might possess. These results can help understanding computer virus epidemics and other spreading phenomena on communication and social networks.

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Crossref · 10.1103/physreve.63.066117

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Metadata

Authors
Pastor-Satorras, R., & Vespignani, A.
Venue
Physical Review E
Published
2001-05-22
Volume
63
Issue
6
Pages
066117-066117
ISSN
  • 1063-651X (ISSN-L)
  • 1095-3787
OpenAlex
W2136525561
Cited by
1,682
References
3
FWCI
22.98
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Epidemic dynamics and endemic states in complex networks. https://app.cochat.ai/papers/10.1103/physreve.63.066117
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Pastor-Satorras, R., & Vespignani, A. (2001). Epidemic dynamics and endemic states in complex networks. Physical Review E. https://doi.org/10.1103/physreve.63.066117

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.