Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 348

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Small vulnerable sets determine large network cascades in power grids

Open access
Yang, Yang, Nishikawa, Takashi, Motter, Adilson E.·2017·Science

Abstract

The domino effect in power failure: Sometimes a power failure can be fairly local, but other times, a seemingly identical initial failure can cascade to cause a massive and costly breakdown in the system. Yang et al. built a model for the North American power grid network based on samples of data covering the years 2008 to 2013 (see the Perspective by D'Souza). Although the observed cascades were widespread, a small fraction of all network components, particularly the ones that were most cohesive within the network, were vulnerable to cascading failures. Larger cascades were associated with concurrent triggering events that were geographically closer to each other and closer to the set of vulnerable components. Science , this issue p. eaan3184 ; see also p. 860

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.aan3184

Cites

44 of 44 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 44 references

Metadata

Authors
Yang, Y., Nishikawa, T., & Motter, A. E.
Venue
Science
Published
2017-11-17
Volume
358
Issue
6365
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2769051030
Cited by
348
References
44
FWCI
17.82
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: Small vulnerable sets determine large network cascades in power grids. https://app.cochat.ai/papers/10.1126/science.aan3184
The paper
Yang, Y., Nishikawa, T., & Motter, A. E. (2017). Small vulnerable sets determine large network cascades in power grids. Science. https://doi.org/10.1126/science.aan3184

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.