The DOI matches its OpenAlex record.
On the spread of viruses on the internet
Abstract
We analyze the contact process on random graphs generated according to the preferential attachment scheme as a model for the spread of viruses in the Internet. We show that any virus with a positive rate of spread from a node to its neighbors has a non-vanishing chance of becoming epidemic. Quantitatively, we discover an interesting dichotomy: for a virus with effective spread rate)~, if the infection starts at a typical vertex, then it de-O / I,,a(1/~),~ velops into an epidemic with probability A t ~ J, but on average the epidemic probability is A cO). 1
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
Cited by
Epidemic thresholds in real networks
Chakrabarti, D., Wang, Y., Wang, C., Leskovec, J., & Faloutsos, C. (2008) · ACM Transactions on Information and System Security · doi:10.1145/1284680.1284681 · Cited by 787
Durrett, R. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546594 · Cited by 780
Dynamics of information diffusion and its applications on complex networks
Zhang, Z.-K., Liu, C., Zhan, X.-X., Lu, X., Zhang, C.-X., & Zhang, Y.-C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.07.002 · Cited by 484
Metadata
- Authors
- Berger, N., Borgs, C., Chayes, J., & Saberi, A.
- Published
- 2005-01-23
- Pages
- 301-310
- DOI
- 10.5555/1070432.1070475
- OpenAlex
- W2065543353
- Cited by
- 183
- References
- 0
- FWCI
- 6.98
- Type
- journal article
- Language
- en
- Open access
- closed
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: On the spread of viruses on the internet. https://app.cochat.ai/papers/10.5555/1070432.1070475
- The paper
- Berger, N., Borgs, C., Chayes, J., & Saberi, A. (2005). On the spread of viruses on the internet. https://doi.org/10.5555/1070432.1070475
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.
