Evidence map›Paper›PMID 40527473›Full record

ArticleJournal of the Royal Society, Interface2025

Drivers of cooperation in social dilemmas on higher-order networks.

Onkar Sadekar, Andrea Civilini, Vito Latora, Federico Battiston

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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. Review
  2. Drivers of cooperation in social dilemmas on higher-order networks.Journal of the Royal Society, Interface · 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

4 authors.

Onkar SadekarDepartment of Network and Data Science, Central European University, Vienna, Austria.ORCID 0000-0002-5177-0836
Andrea CiviliniSchool of Mathematical Sciences, Queen Mary University of London, London, UK.
Vito LatoraSchool of Mathematical Sciences, Queen Mary University of London, London, UK.
Federico BattistonDepartment of Network and Data Science, Central European University, Vienna, Austria.ORCID 0000-0001-9646-6232

Funding

European Office of Aerospace Research and Development
6 · The paper itself

Abstract

Understanding cooperation in social dilemmas requires models that capture the complexity of real-world interactions. While network frameworks have provided valuable insights to model the evolution of cooperation, they are unable to encode group interactions properly. Here, we introduce a general higher-order networks framework for multi-player games on structured populations. Our model considers multi-dimensional strategies, based on the observation that social behaviours are affected by the size of the group interaction. We investigate the dynamical and structural coupling between different orders of interactions, revealing the crucial role of nested multi-level interactions and showing how such features can enhance cooperation beyond the limit of traditional models with uni-dimensional strategies. Our work identifies the key drivers promoting cooperative behaviour commonly observed in real-world group social dilemmas.

Indexed as

Cooperative BehaviorGame TheoryModels, TheoreticalSocial BehaviorHumanscomplex networkscomplex systemscooperationevolutionary and population dynamicsevolutionary gamesgame theory modelshigher order networkssocial dynamicssocial system dynamics

Identifiers

PMID40527473
PMCPMC12173504

What OpenQuestion holds

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LicenceCC BY
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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.