ReviewPhysics reports2014
The structure and dynamics of multilayer networks.
Review in Physics reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 476 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
476 citing papers in PubMed.
- Dynamic brain functional connectivity in age-related hearing loss during auditory selective spatial attention.GeroScience · 2026Article
- Coupling with opinion dynamics promotes prosocial behavior in multilayer networks.PLoS computational biology · 2026Article
- Metastability and Entropy Peaks in Antagonistic Multiplex Consensus Dynamics.Entropy (Basel, Switzerland) · 2026Article
- Multiplexing in networks and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Statistical learning of stochastic complex systems via the Yau-Yau nonlinear filter.Innovation (Cambridge (Mass.)) · 2026Article
- Delay-Induced Complexity and Chaotic Dynamics in a Network Model of Information Spreading.Entropy (Basel, Switzerland) · 2026Article
- Emergence of power laws in hierarchical dynamics on multi-level graphs.Scientific reports · 2026Article
- Speed Ratio in a Novel Multilayer Traffic Network for Urban Congestion Relief and Efficiency Gain.Entropy (Basel, Switzerland) · 2026Article
- Channel Allocation and Equity in Preventive Campaigns for Older Adults: Agent-Based Modeling Study.Journal of medical Internet research · 2026Article
- Surveillance of infectious diseases spreading on time-varying multiplex networks.Infectious Disease Modelling · 2026Article
- Coupled Dynamics of Vaccination Behavior and Epidemic Spreading on Multilayer Higher-Order Networks.Entropy (Basel, Switzerland) · 2026Article
- Dynamic network reconfiguration in hepatitis B cirrhosis secondary to mild hepatic encephalopathy: a multilayer network analysis.Quantitative imaging in medicine and surgery · 2026Article
- Multilayer innovation network resilience: A framework for digital economy vulnerability assessment.iScience · 2026Article
- Understanding Schizophrenia Pathophysiology via fMRI-Based Information Theory and Multiplex Network Analysis.Entropy (Basel, Switzerland) · 2026Article
- Epidemicity conditions in spatial models of infectious diseases.Bollettino della Unione matematica italiana (2008) · 2026Article
- Self-organization and circular causation as synergetic foundations of social interaction: a multilayer network perspective.Frontiers in network physiology · 2026Article
- Multilayer network approaches to omics data integration in digital twins for cancer research.Frontiers in systems biology · 2026Review
- Public information sharing during public health emergencies: an adaptive-network evolutionary game.Frontiers in public health · 2026Article
- Structure-function multilayer network integration and cognition in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2026Article
416 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.
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.