ArticleNature communications2021
Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Forecasting Congestion and Enabling Proactive Management on Expressways During Public Holidays: A Survey of Methods, Open Issues, and Research Directions.Sensors (Basel, Switzerland) · 2026Review
- Interphase-Centric and Mechanism-Driven Advances in Polymer Composites Reinforced with Nano-, Synthetic, and Inorganic Fillers.Polymers · 2026Review
- A small set of critical hyper-motifs governs heterogeneous flow-weighted network resilience.Nature communications · 2025Article
- Unveiling Multistability in Urban Traffic Through Percolation Theory and Network Analysis.Entropy (Basel, Switzerland) · 2025Article
- Big-data empowered traffic signal control could reduce urban carbon emission.Nature communications · 2025Article
- Spatiotemporal dynamics of traffic bottlenecks yields an early signal of heavy congestions.Nature communications · 2023Article
- City-scale Vehicle Trajectory Data from Traffic Camera Videos.Scientific data · 2023Article
- Measuring accessibility to public services and infrastructure criticality for disasters risk management.Scientific reports · 2023Article
- Understanding congestion propagation by combining percolation theory with the macroscopic fundamental diagram.Communications physics · 2023Article
- Invulnerability of the Urban Agglomeration Integrated Passenger Transport Network under Emergency Events.International journal of environmental research and public health · 2022Article
- A link model approach to identify congestion hotspots.Royal Society open science · 2022Article
- Identification, cost evaluation, and prioritization of urban traffic congestions and their origin.Scientific reports · 2022Article
- Local impacts on road networks and access to critical locations during extreme floods.Scientific reports · 2022Article
- From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science.Frontiers in endocrinology · 2022Review
- Empirical evidence for a jamming transition in urban traffic.Journal of the Royal Society, Interface · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whether it be the passengers' mobility demand in transportation systems, or the consumers' energy demand in power grids, the primary purpose of many infrastructure networks is to best serve this flow demand. In reality, the volume of flow demand fluctuates unevenly across complex networks while simultaneously being hindered by some form of congestion or overload. Nevertheless, there is little known about how the heterogeneity of flow demand influences the network flow dynamics under congestion. To explore this, we introduce a percolation-based network analysis framework underpinned by flow heterogeneity. Thereby, we theoretically identify bottleneck links with guaranteed decisive impact on how flows are passed through the network. The effectiveness of the framework is demonstrated on large-scale real transportation networks, where mitigating the congestion on a small fraction of the links identified as bottlenecks results in a significant network improvement.
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.