Beyond pairwise network similarity: exploring mediation and suppression between networks
Mediation analysis aims to clarify the nature of the relationship between two variables, by elucidating the role of a third variable, which can allow or suppress the relationship, or being simply not involved in the process. The authors introduce this framework in the analysis of three-layered multi...
Main Authors: | Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-06-01
|
Series: | Communications Physics |
Online Access: | https://doi.org/10.1038/s42005-021-00638-9 |
Similar Items
-
Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks
by: Speranza Sannino, et al.
Published: (2017-10-01) -
Similarity maps and pairwise predictions for transmission dynamics of COVID-19 with neural networks
by: Pitoyo Hartono
Published: (2020-01-01) -
Sampling and Estimation of Pairwise Similarity in Spatio-Temporal Data Based on Neural Networks
by: Steffen Frey
Published: (2017-08-01) -
Exploring Entity Relationship in Pairwise Ranking: Adaptive Sampler and Beyond
by: Yu, Lu
Published: (2020) -
Information flow in networks and the law of diminishing marginal returns: evidence from modeling and human electroencephalographic recordings.
by: Daniele Marinazzo, et al.
Published: (2012-01-01)