Evidence map›Paper›PMID 27872501›Full record

ArticleSIAM journal on applied mathematics

SYNCHRONIZATION OF HETEROGENEOUS OSCILLATORS UNDER NETWORK MODIFICATIONS: PERTURBATION AND OPTIMIZATION OF THE SYNCHRONY ALIGNMENT FUNCTION.

Dane Taylor, Per Sebastian Skardal, Jie Sun

Abstract read
In one paragraph

Article in SIAM journal on applied mathematics. 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

3 authors.

Dane TaylorCarolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA; and Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, NC, 27709, USA.
Per Sebastian SkardalDepartment of Mathematics, Trinity College, Hartford, CT, 06106, USA.
Jie SunDepartment of Mathematics, Clarkson University, Potsdam, NY, 13699, USA; Department of Physics, Potsdam, NY, 13699, USA; Department of Computer Science, Potsdam, NY, 13699, USA.

Funding

Models and Tools for Dynamic Health-Relevant Diffusion over Complex NetworksR01HD075712 · NICHD · DUKE UNIVERSITY · PI MOODY, JAMES, MUCHA, PETER JOHN · 2013 to 2018
$1.8M
NICHD NIH HHS R01 HD075712
6 · The paper itself

Abstract

Synchronization is central to many complex systems in engineering physics (e.g., the power-grid, Josephson junction circuits, and electro-chemical oscillators) and biology (e.g., neuronal, circadian, and cardiac rhythms). Despite these widespread applications-for which proper functionality depends sensitively on the extent of synchronization-there remains a lack of understanding for how systems can best evolve and adapt to enhance or inhibit synchronization. We study how network modifications affect the synchronization properties of network-coupled dynamical systems that have heterogeneous node dynamics (e.g., phase oscillators with non-identical frequencies), which is often the case for real-world systems. Our approach relies on a

Indexed as

complex networksKuramoto modelnetwork-coupled oscillatorsoptimizationsynchronizationsynchrony alignment function

Identifiers

PMID27872501
PMCPMC5115605

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.