Evidence map›Paper›PMID 30679639›Full record

ArticleScientific reports2019

Finding and analysing the minimum set of driver nodes required to control multilayer networks.

Jose C Nacher, Masayuki Ishitsuka, Shuichi Miyazaki, Tatsuya Akutsu

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Conserved Control Path in Multilayer Networks.Entropy (Basel, Switzerland) · 2022
    Article
  4. Article
  5. Spreading Control in Two-Layer Multiplex Networks.Entropy (Basel, Switzerland) · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jose C NacherDepartment of Information Science, Toho University, Funabashi, Chiba, 274-8510, Japan. nacher@is.sci.toho-u.ac.jp.
Masayuki IshitsukaDepartment of Information Science, Toho University, Funabashi, Chiba, 274-8510, Japan.
Shuichi MiyazakiAcademic Center for Computing Media Studies, Kyoto University, Kyoto, 606-8501, Japan.
Tatsuya AkutsuBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, 611-0011, Japan. takutsu@kuicr.kyoto-u.ac.jp.ORCID 0000-0001-9763-797X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is difficult to control multilayer networks in situations with real-world complexity. Here, we first define the multilayer control problem in terms of the minimum dominating set (MDS) controllability framework and mathematically demonstrate that simple formulas can be used to estimate the size of the minimum dominating set in multilayer (MDSM) complex networks. Second, we develop a new algorithm that efficiently identifies the MDSM in up to 6 layers, with several thousand nodes in each layer network. Interestingly, the findings reveal that the MDSM size for similar networks does not significantly differ from that required to control a single network. This result opens future directions for controlling, for example, multiple species by identifying a common set of enzymes or proteins for drug targeting. We apply our methods to 70 genome-wide metabolic networks across major plant lineages, unveiling some relationships between controllability in multilayer networks and metabolic functions at the genome scale.

Identifiers

PMID30679639
PMCPMC6345816

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Registered trials

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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.