Evidence map›Paper›PMID 39424789›Full record

ArticleNature communications2024

The efficiency of synchronization dynamics and the role of network syncreactivity.

Amirhossein Nazerian, Joseph D Hart, Matteo Lodi, Francesco Sorrentino

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Amirhossein NazerianMechanical Engineering Department, University of New Mexico, Albuquerque, NM, USA.ORCID http://orcid.org/0000-0003-1280-2353
Joseph D HartUS Naval Research Laboratory, Code 5675, Washington, DC, USA.ORCID http://orcid.org/0000-0002-9396-0574
Matteo LodiDITEN, University of Genoa, Genova, Italy.ORCID http://orcid.org/0000-0002-0753-7017
Francesco SorrentinoMechanical Engineering Department, University of New Mexico, Albuquerque, NM, USA. fsorrent@unm.edu.ORCID http://orcid.org/0000-0001-8899-1176

Funding

A Closed Loop Control System with Live Cells in the LoopR21EB028489 · NIBIB · UNIVERSITY OF NEW MEXICO · PI SORRENTINO, FRANCESCO · 2020 to 2022
$577k
NIBIB NIH HHS R21 EB028489U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) 1R21EB028489-01A1U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) 1R21EB028489-01A1.
6 · The paper itself

Abstract

Synchronization of coupled oscillators is a fundamental process in both natural and artificial networks. While much work has investigated the asymptotic stability of the synchronous solution, the fundamental question of the transient behavior toward synchronization has received far less attention. In this work, we present the transverse reactivity as a metric to quantify the instantaneous rate of growth or decay of desynchronizing perturbations. We first use the transverse reactivity to design a coupling-efficient and energy-efficient synchronization strategy that involves varying the coupling strength dynamically according to the current state of the system. We find that our synchronization strategy is able to synchronize networks in both simulation and experiment over a significantly larger (often by orders of magnitude) range of coupling strengths than is possible when the coupling strength is constant. Then, we characterize the effects of network topology on the transient dynamics towards synchronization by introducing the concept of network syncreactivity: A network with a larger syncreactivity has a larger transverse reactivity at every point on the synchronization manifold, independent of the oscillator dynamics. We classify real-world examples of complex networks in terms of their syncreactivity.

Identifiers

PMID39424789
PMCPMC11489704

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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.