Evidence map›Paper›PMID 36959174›Full record

ArticleNature communications2023

Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes.

Yuanzhao Zhang, Maxime Lucas, Federico Battiston

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Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  4. Hypernetworks induce stable hyperlocking.Nature communications · 2026
    Article
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  16. Drivers of cooperation in social dilemmas on higher-order networks.Journal of the Royal Society, Interface · 2025
    Article
  17. Hypergraph reconstruction from dynamics.Nature communications · 2025
    Article
  18. Article
  19. Article
  20. Review
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.

Yuanzhao Zhang *Santa Fe Institute, Santa Fe, NM, USA. yzhang@santafe.edu.ORCID http://orcid.org/0000-0002-2056-7755
Maxime Lucas *ISI Foundation, Torino, Italy. ml.maximelucas@gmail.com.ORCID http://orcid.org/0000-0001-8087-2981
Federico BattistonDepartment of Network and Data Science, Central European University, Vienna, Austria. battistonf@ceu.edu.ORCID http://orcid.org/0000-0001-9646-6232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Higher-order networks have emerged as a powerful framework to model complex systems and their collective behavior. Going beyond pairwise interactions, they encode structured relations among arbitrary numbers of units through representations such as simplicial complexes and hypergraphs. So far, the choice between simplicial complexes and hypergraphs has often been motivated by technical convenience. Here, using synchronization as an example, we demonstrate that the effects of higher-order interactions are highly representation-dependent. In particular, higher-order interactions typically enhance synchronization in hypergraphs but have the opposite effect in simplicial complexes. We provide theoretical insight by linking the synchronizability of different hypergraph structures to (generalized) degree heterogeneity and cross-order degree correlation, which in turn influence a wide range of dynamical processes from contagion to diffusion. Our findings reveal the hidden impact of higher-order representations on collective dynamics, highlighting the importance of choosing appropriate representations when studying systems with nonpairwise interactions.

Identifiers

PMID36959174
PMCPMC10036330

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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.