ReviewNature communications2022
Statistical inference links data and theory in network science.
Review in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Mesoscale structures in signed networks.Science advances · 2026Article
- Inferring signed social networks from contact patterns.Journal of physics. Complexity · 2026Article
- Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease.Scientific reports · 2026Article
- Restricted Network Reconstruction from Time Series via Dempster-Shafer Evidence Theory.Entropy (Basel, Switzerland) · 2026Article
- Article
- Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.Entropy (Basel, Switzerland) · 2025Article
- A causal framework for the drivers of animal social network structure.PLoS computational biology · 2025Article
- Introduction to correlation networks: Interdisciplinary approaches beyond thresholding.Physics reports · 2025Article
- Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience.ArXiv · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- On the limits of the intervention on complex systems guided by functional networks.Scientific reports · 2025Article
- Economical representation of spatial networks.PNAS nexus · 2025Article
- Unraveling the neural code: analysis of large-scale two-photon microscopy data.Microscopy (Oxford, England) · 2025Review
- SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis.Scientific data · 2025Article
- Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks.Entropy (Basel, Switzerland) · 2025Article
- Determining interaction directionality in complex biochemical networks from stationary measurements.Scientific reports · 2025Article
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
- Article
- Are the tools fit for purpose? Network inference algorithms evaluated on a simulated lipidomics network.Bioinformatics advances · 2025Article
- Article
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
No grant is acknowledged in the PubMed record.
Abstract
The number of network science applications across many different fields has been rapidly increasing. Surprisingly, the development of theory and domain-specific applications often occur in isolation, risking an effective disconnect between theoretical and methodological advances and the way network science is employed in practice. Here we address this risk constructively, discussing good practices to guarantee more successful applications and reproducible results. We endorse designing statistically grounded methodologies to address challenges in network science. This approach allows one to explain observational data in terms of generative models, naturally deal with intrinsic uncertainties, and strengthen the link between theory and applications.
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.