Evidence map›Paper›PMID 32451481›Full record

ArticleNature human behaviour2020

Social goods dilemmas in heterogeneous societies.

Alex McAvoy, Benjamin Allen, Martin A Nowak

Abstract read
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In one paragraph

Article in Nature human behaviour, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  9. Promoting collective cooperation through temporal interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Article
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  13. Evolution of reciprocity with limited payoff memory.Proceedings. Biological sciences · 2024
    Article
  14. Article
  15. Can institutions foster cooperation by wealth redistribution?Journal of the Royal Society, Interface · 2024
    Article
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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.

Alex McAvoyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. alexmcavoy@g.harvard.edu.ORCID http://orcid.org/0000-0002-9110-4635
Benjamin AllenDepartment of Mathematics, Emmanuel College, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9746-7613
Martin A NowakDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. martin_nowak@harvard.edu.ORCID http://orcid.org/0000-0001-5489-0908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prosocial behaviours are encountered in the donation game, the prisoner's dilemma, relaxed social dilemmas and public goods games. Many studies assume that the population structure is homogeneous, meaning that all individuals have the same number of interaction partners or that the social good is of one particular type. Here, we explore general evolutionary dynamics for arbitrary spatial structures and social goods. We find that heterogeneous networks, in which some individuals have many more interaction partners than others, can enhance the evolution of prosocial behaviours. However, they often accumulate most of the benefits in the hands of a few highly connected individuals, while many others receive low or negative payoff. Surprisingly, selection can favour producers of social goods even if the total costs exceed the total benefits. In summary, heterogeneous structures have the ability to strongly promote the emergence of prosocial behaviours, but they also create the possibility of generating large inequality.

Indexed as

Cooperative BehaviorGames, ExperimentalGame TheoryHumansInterpersonal RelationsModels, PsychologicalPrisoner Dilemma

Identifiers

What OpenQuestion holds

Textmetadata
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.