Evidence map›Paper›PMID 31624122›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Universal behavior of cascading failures in interdependent networks.

Dongli Duan, Changchun Lv, Shubin Si, Zhen Wang, Daqing Li, Jianxi Gao, Shlomo Havlin, H Eugene Stanley, Stefano Boccaletti

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Risk-Resilience Feedback to Assure Critical Societal Functions.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Article
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  4. Article
  5. Article
  6. Percolation Theories for Quantum Networks.Entropy (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dongli DuanSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0002-3920-2326
Changchun LvSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Shubin SiSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China; sisb@nwpu.edu.cn zhenwang0@gmail.com hes@bu.edu.ORCID 0000-0003-2297-4423
Zhen WangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China; sisb@nwpu.edu.cn zhenwang0@gmail.com hes@bu.edu.
Daqing LiSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.
Jianxi GaoDepartment of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180.
Shlomo HavlinDepartment of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel.
H Eugene StanleyCenter for Polymer Studies, Department of Physics, Boston University, Boston, MA 02215; sisb@nwpu.edu.cn zhenwang0@gmail.com hes@bu.edu.ORCID 0000-0003-2800-4495
Stefano BoccalettiInstitute of Complex Systems, Consiglio Nazionale delle Ricerche, Florence 50019, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catastrophic and major disasters in real-world systems, such as blackouts in power grids or global failures in critical infrastructures, are often triggered by minor events which originate a cascading failure in interdependent graphs. We present here a self-consistent theory enabling the systematic analysis of cascading failures in such networks and encompassing a broad range of dynamical systems, from epidemic spreading, to birth-death processes, to biochemical and regulatory dynamics. We offer testable predictions on breakdown scenarios, and, in particular, we unveil the conditions under which the percolation transition is of the first-order or the second-order type, as well as prove that accounting for dynamics in the nodes always accelerates the cascading process. Besides applying directly to relevant real-world situations, our results give practical hints on how to engineer more robust networked systems.

Indexed as

cascading failureinterdependent networkrobustnessspreading

Identifiers

PMID31624122
PMCPMC6842597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.