ArticleNature communications2016
Multiple tipping points and optimal repairing in interacting networks.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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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.
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Who cites it
17 citing papers in PubMed.
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- Statistical physics approaches to the complex Earth system.Physics reports · 2021Review
- Mitigation of cascading failures in complex networks.Scientific reports · 2020Article
- Non-Markovian recovery makes complex networks more resilient against large-scale failures.Nature communications · 2020Article
- Local floods induce large-scale abrupt failures of road networks.Nature communications · 2019Article
- Reconstructing missing complex networks against adversarial interventions.Nature communications · 2019Article
- Network recovery based on system crash early warning in a cascading failure model.Scientific reports · 2018Article
- Resilience and efficiency in transportation networks.Science advances · 2017Article
- Targeted Recovery as an Effective Strategy against Epidemic Spreading.Scientific reports · 2017Article
- The interdependent network of gene regulation and metabolism is robust where it needs to be.Nature communications · 2017Article
- Emergence of hysteresis loop in social contagions on complex networks.Scientific reports · 2017Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems composed of many interacting dynamical networks-such as the human body with its biological networks or the global economic network consisting of regional clusters-often exhibit complicated collective dynamics. Three fundamental processes that are typically present are failure, damage spread and recovery. Here we develop a model for such systems and find a very rich phase diagram that becomes increasingly more complex as the number of interacting networks increases. In the simplest example of two interacting networks we find two critical points, four triple points, ten allowed transitions and two 'forbidden' transitions, as well as complex hysteresis loops. Remarkably, we find that triple points play the dominant role in constructing the optimal repairing strategy in damaged interacting systems. To test our model, we analyse an example of real interacting financial networks and find evidence of rapid dynamical transitions between well-defined states, in agreement with the predictions of our model.
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Registered trials
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.