Evidence map›Paper›PMID 39356755›Full record

ArticleScience advances2024

Deeper but smaller: Higher-order interactions increase linear stability but shrink basins.

Yuanzhao Zhang, Per Sebastian Skardal, Federico Battiston, Giovanni Petri, Maxime Lucas

Abstract read
In one paragraph

Article in Science advances, 2024. 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. Hypernetworks induce stable hyperlocking.Nature communications · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Hypergraph reconstruction from dynamics.Nature communications · 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

5 authors.

Yuanzhao ZhangSanta Fe Institute, Santa Fe, NM 87501, USA.ORCID 0000-0002-2056-7755
Per Sebastian SkardalDepartment of Mathematics, Trinity College, Hartford, CT 06106, USA.ORCID 0000-0001-9955-6874
Federico BattistonDepartment of Network and Data Science, Central European University, 1100 Vienna, Austria.ORCID 0000-0001-9646-6232
Giovanni PetriNP Lab, Network Science Institute, Northeastern University London, London, UK.ORCID 0000-0003-1847-5031
Maxime LucasCENTAI Institute, 10138 Torino, Italy.ORCID 0000-0001-8087-2981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this question through linear stability analysis, less is known about how higher-order interactions shape the global organization of different states. Here, we shed light on this issue by analyzing the rich patterns supported by identical Kuramoto oscillators on hypergraphs. We show that higher-order interactions can have opposite effects on linear stability and basin stability: They stabilize twisted states (including full synchrony) by improving their linear stability, but also make them hard to find by markedly reducing their basin size. Our results highlight the importance of understanding higher-order interactions from both local and global perspectives.

Identifiers

PMID39356755
PMCPMC11446277

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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.