ArticleNature communications2025
Modeling resource consumption in the US air transportation system via minimum-cost percolation.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Temporal self-similarity reveals percolation universality classes in complex networks.Nature communications · 2026Article
- Modeling resource consumption in the US air transportation system via minimum-cost percolation.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Percolation theory has been proven useful to study the robustness of supply-and-demand networks (SDNs) such as transportation and communication infrastructures. Here, we show that it can also be leveraged to understand how resources of SDNs are utilized, and eventually depleted. We introduce a model where rational agents consume network's edges along demanded minimum-cost paths. Due to the finiteness of its resources, the network undergoes a transition between a percolating phase where it can properly serve demand to a non-percolating phase where demand can no longer be supplied. By applying the framework to weighted, directed, temporal, and multi-layer network representations of the US air transportation system, we underscore several key benefits for the overall system that could emerge by simply promoting code-share arrangements among airlines without altering their current schedule of operation.
Identifiers
What OpenQuestion holds
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.