The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Halting viruses in scale-free networks
Open accessAbstract
The vanishing epidemic threshold for viruses spreading on scale-free networks indicate that traditional methods, aiming to decrease a virus' spreading rate cannot succeed in eradicating an epidemic. We demonstrate that policies that discriminate between the nodes, curing mostly the highly connected nodes, can restore a finite epidemic threshold and potentially eradicate a virus. We find that the more biased a policy is towards the hubs, the more chance it has to bring the epidemic threshold above the virus' spreading rate. Furthermore, such biased policies are more cost effective, requiring less cures to eradicate the virus.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Self-citationHow Viruses Spread Among Computers and People
Lloyd, A. L., & May, R. M. (2001) · Science · doi:10.1126/science.1061076 · Cited by 661
Cited by
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Critical phenomena in complex networks
Dorogovtsev, S. N., Goltsev, A. V., & Mendes, J. F. F. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1275 · Cited by 2,220
Efficient Immunization Strategies for Computer Networks and Populations
Cohen, R., Havlin, S., & ben-Avraham, D. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.247901 · Cited by 1,162
Chains of affection: the structure of adolescent romantic and sexual networks
Bearman, P. S., Moody, J., & Stovel, K. (2004) · American Journal of Sociology · doi:10.1086/386272 · Cited by 817
When individual behaviour matters: homogeneous and network models in epidemiology
Bansal, S., Grenfell, B. T., & Meyers, L. A. (2007) · Journal of The Royal Society Interface · doi:10.1098/rsif.2007.1100 · Cited by 722
Metadata
- Authors
- Dezső, Z., & Barabási, A.-L.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2002-05-21
- Volume
- 65
- Issue
- 5
- Pages
- 055103-055103
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2042728064
- Cited by
- 583
- References
- 3
- FWCI
- 16.51
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Halting viruses in scale-free networks. https://app.cochat.ai/papers/10.1103/physreve.65.055103
- The paper
- Dezső, Z., & Barabási, A.-L. (2002). Halting viruses in scale-free networks. Physical Review E. https://doi.org/10.1103/physreve.65.055103
Data sources
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.