ArticleRoyal Society open science2018
Quantifying layer similarity in multiplex networks: a systematic study.
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Functional and structural clustering of social relationship layers among college students for link prediction with applications to perceived drinking networks.Scientific reports · 2025Article
- Animal social networks are robust to changing association definitions.Behavioral ecology and sociobiology · 2025Article
- Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach.Entropy (Basel, Switzerland) · 2024Article
- Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics.PLoS computational biology · 2024Article
- Comparison of Graph Distance Measures for Movie Similarity Using a Multilayer Network Model.Entropy (Basel, Switzerland) · 2024Article
- A tool to enhance antimicrobial stewardship using similarity networks to identify antimicrobial resistance patterns across farms.Scientific reports · 2023Article
- PLEX.I: a tool to discover features in multiplex networks that reflect clinical variation.Frontiers in genetics · 2023Article
- Link prediction in real-world multiplex networks via layer reconstruction method.Royal Society open science · 2020Article
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
Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers. We provide a taxonomy and experimental evaluation of approaches to compare layers in multiplex networks. Our taxonomy includes, systematizes and extends existing approaches, and is complemented by a set of practical guidelines on how to apply them.
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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.