ArticleNature communications2022
Dynamics of ranking.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Statistical Behavior of the Rank-order and Tiering Metric of the 2020 Centers for Medicare and Medicaid Services Organ Procurement Organization Rule.Transplantation direct · 2026Article
- A temporal keyword co-occurrence network mining framework for detecting structural transitions in cancer biomarker research (2006-2023).Scientific reports · 2026Article
- Human brains construct individualized global rankings from identical few-shot learning input.PLoS biology · 2026Article
- A dynamical measure of algorithmically infused visibility.Royal Society open science · 2025Article
- Measuring social mobility in temporal networks.Scientific reports · 2025Article
- Network assortativity for a multidimensional evaluation of socio-economic territorial biases in university rankings.PloS one · 2025Article
- Dendritic Spines of Layer 5 Pyramidal Neurons of the Aging Somatosensory Cortex Exhibit Reduced Volumetric Remodeling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Language Statistics at Different Spatial, Temporal, and Grammatical Scales.Entropy (Basel, Switzerland) · 2024Article
- Imitation versus serendipity in ranking dynamics.Royal Society open science · 2024Article
- The Jackson 5 System for Creating Rank Order Lists: Easy as A-B-C, 1-2-3.Journal of graduate medical education · 2023Article
- Intermunicipal travel networks of Mexico during the COVID-19 pandemic.Scientific reports · 2023Article
- Temporal, Structural, and Functional Heterogeneities Extend Criticality and Antifragility in Random Boolean Networks.Entropy (Basel, Switzerland) · 2023Article
- Monetization in online streaming platforms: an exploration of inequalities in Twitch.tv.Scientific reports · 2023Article
- Article
- Universality out of order.Nature communications · 2022Article
- Dynamics of ranking.Nature communications · 2022Article
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
Virtually anything can be and is ranked; people, institutions, countries, words, genes. Rankings reduce complex systems to ordered lists, reflecting the ability of their elements to perform relevant functions, and are being used from socioeconomic policy to knowledge extraction. A century of research has found regularities when temporal rank data is aggregated. Far less is known, however, about how rankings change in time. Here we explore the dynamics of 30 rankings in natural, social, economic, and infrastructural systems, comprising millions of elements and timescales from minutes to centuries. We find that the flux of new elements determines the stability of a ranking: for high flux only the top of the list is stable, otherwise top and bottom are equally stable. We show that two basic mechanisms - displacement and replacement of elements - capture empirical ranking dynamics. The model uncovers two regimes of behavior; fast and large rank changes, or slow diffusion. Our results indicate that the balance between robustness and adaptability in ranked systems might be governed by simple random processes irrespective of system details.
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.