ArticleScientific reports2016
Small-World Propensity and Weighted Brain Networks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
133 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Psilocybin-induced default mode network hypoconnectivity is blunted in alcohol-dependent rats.Translational psychiatry · 2023Trial
- Abnormal resting-state functional connectivity in the orbitofrontal cortex of heroin users and its relationship with anxiety: a pilot fNIRS study.Scientific reports · 2017Trial
- Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- Decreased variability of small-world propensity during non-response tasks in schizophrenia.Neuroimage. Reports · 2026Article
- Opposite network patterns of integration-segregation in psychedelic and sedated states of consciousness.Cell reports · 2026Article
- Anti-NMDAR encephalitis impairs intrinsic hippocampal dynamics through neuronal hypercoupling, hub dominance, and aberrant ensembles.Molecular psychiatry · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.bioRxiv : the preprint server for biology · 2026Article
- Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding.Biomimetics (Basel, Switzerland) · 2026Article
- Early differential impact of MeCP2 mutations on functional networks in Rett syndrome patient-derived human cortical organoids.Nature communications · 2026Article
- Deriving functional network topology frombioRxiv : the preprint server for biology · 2026Article
- Opposing Network Patterns of Integration-Segregation in Psychedelic and Sedated States of Consciousness.bioRxiv : the preprint server for biology · 2026Article
- Functional Networks in Developmental Dyslexia: Auditory Discrimination of Words and Pseudowords.NeuroSci · 2026Article
- Microscale dysfunction and mesoscale compensation in degenerating neuronal networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Multimodal neuroimaging of locus coeruleus-default mode network connectivity for predicting dexmedetomidine response in chronic insomnia disorder.Frontiers in psychiatry · 2026Article
- Regression and alignment for functional data and network topology.Biostatistics (Oxford, England) · 2025Article
- Global organisation of structural covariance networks derived from parcellated cortical surface area in atypical populations.bioRxiv : the preprint server for biology · 2025Article
- Article
- Unraveling the neural code: analysis of large-scale two-photon microscopy data.Microscopy (Oxford, England) · 2025Review
73 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
Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world structure, diagnosed by high local clustering yet short average path length between any two nodes, promotes information flow in coupled systems, a key function that can differ across conditions or between groups. However, current techniques to quantify small-worldness are density dependent and neglect important features such as the strength of network connections, limiting their application in real-world systems. Here, we address both limitations with a novel metric called the Small-World Propensity (SWP). In its binary instantiation, the SWP provides an unbiased assessment of small-world structure in networks of varying densities. We extend this concept to the case of weighted brain networks by developing (i) a standardized procedure for generating weighted small-world networks, (ii) a weighted extension of the SWP, and (iii) a method for mapping observed brain network data onto the theoretical model. In applying these techniques to compare real-world brain networks, we uncover the surprising fact that the canonical biological small-world network, the C. elegans neuronal network, has strikingly low SWP. These metrics, models, and maps form a coherent toolbox for the assessment and comparison of architectural properties in brain networks.
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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.