ArticleNature physics2019
From networks to optimal higher-order models of complex systems.
Article in Nature physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 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
77 citing papers in PubMed.
- Hyperedge approximation for stochastic processes on higher-order networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Quantum Single-Path Transmission Optimization of Complex Networks.Entropy (Basel, Switzerland) · 2026Article
- Hypernetworks induce stable hyperlocking.Nature communications · 2026Article
- Information theory for hypergraph similarity.Science advances · 2026Article
- Statistical learning of stochastic complex systems via the Yau-Yau nonlinear filter.Innovation (Cambridge (Mass.)) · 2026Article
- Temporal heterogeneity shapes diffusion dynamics in complex networks.Nature communications · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Reducibility of higher-order networks from dynamics.Nature communications · 2026Article
- Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization.Scientific reports · 2025Article
- Concise network models of memory dynamics reveal explainable patterns in path data.Science advances · 2025Article
- Effects of Hyperedge Overlap and Internal Structure on Hypernetwork Synchronization Dynamics.Entropy (Basel, Switzerland) · 2025Article
- Emergence of cooperation promoted by higher-order strategy updates.PLoS computational biology · 2025Article
- Explosive neural networks via higher-order interactions in curved statistical manifolds.Nature communications · 2025Article
- A topic dissemination model based on hypernetwork.Scientific reports · 2025Article
- Complex system modeling reveals oxalate homeostasis is driven by diverse oxalate-degrading bacteria.eLife · 2025Article
- Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization tools.Biomarker research · 2025Review
- Hypergraph reconstruction from dynamics.Nature communications · 2025Article
- Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Coarse-graining network flow through statistical physics and machine learning.Nature communications · 2025Article
- Hybrid universality classes of systemic cascades.Nature communications · 2025Article
17 more citing papers are in PubMed but not listed here.
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
Rich data is revealing that complex dependencies between the nodes of a network may escape models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.
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.