Evidence map›Paper›PMID 36914645›Full record

ArticleNature communications2023

Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs.

Guilherme Ferraz de Arruda, Giovanni Petri, Pablo Martin Rodriguez, Yamir Moreno

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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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Rumor propagation on hypergraphs.Nature communications · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Hypergraph reconstruction from dynamics.Nature communications · 2025
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
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  15. Article
  16. Dynamics on higher-order networks: a review.Journal of the Royal Society, Interface · 2022
    Review
  17. Epidemics on hypergraphs: spectral thresholds for extinction.Proceedings. Mathematical, physical, and engineering sciences · 2021
    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.

Guilherme Ferraz de ArrudaCENTAI Institute, Turin, Italy. gui.f.arruda@gmail.com.ORCID http://orcid.org/0000-0003-1647-5126
Giovanni PetriCENTAI Institute, Turin, Italy.ORCID http://orcid.org/0000-0003-1847-5031
Pablo Martin RodriguezDepartment of Statistics, Federal University of Pernambuco (UFPE), Recife, PE, Brazil.ORCID http://orcid.org/0000-0003-0016-2360
Yamir MorenoCENTAI Institute, Turin, Italy.ORCID http://orcid.org/0000-0002-0895-1893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although ubiquitous, interactions in groups of individuals are not yet thoroughly studied. Frequently, single groups are modeled as critical-mass dynamics, which is a widespread concept used not only by academics but also by politicians and the media. However, less explored questions are how a collection of groups will behave and how their intersection might change the dynamics. Here, we formulate this process as binary-state dynamics on hypergraphs. We showed that our model has a rich behavior beyond discontinuous transitions. Notably, we have multistability and intermittency. We demonstrated that this phenomenology could be associated with community structures, where we might have multistability or intermittency by controlling the number or size of bridges between communities. Furthermore, we provided evidence that the observed transitions are hybrid. Our findings open new paths for research, ranging from physics, on the formal calculation of quantities of interest, to social sciences, where new experiments can be designed.

Identifiers

PMID36914645
PMCPMC10011415

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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.