Evidence map›Paper›PMID 31171784›Full record

ArticleNature communications2019

Simplicial models of social contagion.

Iacopo Iacopini, Giovanni Petri, Alain Barrat, Vito Latora

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
–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

106 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Hyperedge approximation for stochastic processes on higher-order networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Hypernetworks induce stable hyperlocking.Nature communications · 2026
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  13. Rumor propagation on hypergraphs.Nature communications · 2026
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  15. Strategy evolution on temporal hypergraphs.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Neutral theory of cooperative dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  19. Review
  20. Mining higher-order triadic interactions.Nature communications · 2025
    Article

46 more citing papers are in PubMed but not listed here.

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.

Iacopo IacopiniSchool of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK.ORCID http://orcid.org/0000-0001-8794-6410
Giovanni PetriISI Foundation, Via Chisola 5, 10126, Turin, Italy.
Alain BarratISI Foundation, Via Chisola 5, 10126, Turin, Italy.ORCID http://orcid.org/0000-0001-8683-269X
Vito LatoraSchool of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK. v.latora@qmul.ac.uk.ORCID http://orcid.org/0000-0002-0984-8038

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/N013492/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/N510129/1
6 · The paper itself

Abstract

Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize social contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate social changes and contribute to the understanding of higher-order interactions in complex systems.

Indexed as

Reinforcement, PsychologySocial ChangeSocial NetworkingCongresses as TopicHospitalsHumansModels, TheoreticalSchoolsWorkplace

Identifiers

PMID31171784
PMCPMC6554271

What OpenQuestion holds

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LicenceCC BY
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.