Evidence map›Paper›PMID 40003110›Full record

ArticleEntropy (Basel, Switzerland)2025

Local Predictors of Explosive Synchronization with Ordinal Methods.

I Leyva, Juan A Almendral, Christophe Letellier, Irene Sendiña-Nadal

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Nonlinear Dynamics and Applications.Entropy (Basel, Switzerland) · 2025
    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.

I LeyvaComplex Systems Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Spain.ORCID 0000-0001-9634-5385
Juan A AlmendralComplex Systems Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Spain.ORCID 0000-0003-1100-7446
Christophe LetellierCampus Universitaire du Madrillet, Rouen Normandie Université-CORIA, F-76800 Saint-Etienne du Rouvray, France.ORCID 0000-0003-3603-394X
Irene Sendiña-NadalComplex Systems Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Spain.ORCID 0000-0003-0432-235X

Funding

Ministerio de Ciencia, Innovación y Universidades PID2020-113737GB-I00Ministerio de Ciencia, Innovación y Universidades PID2023-147827NB-I00
6 · The paper itself

Abstract

We propose using the ordinal pattern transition (OPT) entropy measured at sentinel central nodes as a potential predictor of explosive transitions to synchronization in networks of various dynamical systems with increasing complexity. Our results demonstrate that the OPT entropic measure surpasses traditional early warning signal (EWS) measures and could be valuable to the tools available for predicting critical transitions. In particular, we investigate networks of diffusively coupled phase oscillators and chaotic Rössler systems. As maps, we consider a neural network of Chialvo maps coupled in star and scale-free configurations. Furthermore, we apply this measure to time series data obtained from a network of electronic circuits operating in the chaotic regime.

Indexed as

chaotic synchronizationcomplex networksearly warning signalsordinal patternsordinal permutation entropyordinal transition network

Identifiers

PMID40003110
PMCPMC11854891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.