ArticleScientific reports2016
Control of Multilayer 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 9 papers.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed.
- Maximum independent set in multiplex social networks and its application to influence maximization.Scientific reports · 2025Article
- Input node placement restricting the longest control chain in controllability of complex networks.Scientific reports · 2023Article
- Spreading Control in Two-Layer Multiplex Networks.Entropy (Basel, Switzerland) · 2020Article
- Target control based on edge dynamics in complex networks.Scientific reports · 2020Article
- Control of multilayer biological networks and applied to target identification of complex diseases.BMC bioinformatics · 2019Article
- Finding and analysing the minimum set of driver nodes required to control multilayer networks.Scientific reports · 2019Article
- Output-Feedback Control for Discrete-Time Spreading Models in Complex Networks.Entropy (Basel, Switzerland) · 2018Article
- Optimization of robustness of interdependent network controllability by redundant design.PloS one · 2018Article
- Synchronization in networks with multiple interaction layers.Science advances · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The controllability of a network is a theoretical problem of relevance in a variety of contexts ranging from financial markets to the brain. Until now, network controllability has been characterized only on isolated networks, while the vast majority of complex systems are formed by multilayer networks. Here we build a theoretical framework for the linear controllability of multilayer networks by mapping the problem into a combinatorial matching problem. We found that correlating the external signals in the different layers can significantly reduce the multiplex network robustness to node removal, as it can be seen in conjunction with a hybrid phase transition occurring in interacting Poisson networks. Moreover we observe that multilayer networks can stabilize the fully controllable multiplex network configuration that can be stable also when the full controllability of the single network is not stable.
Identifiers
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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.