Evidence map›Paper›PMID 30072773›Full record

ArticleScientific reports2018

Inequality as information: Wealth homophily facilitates the evolution of cooperation.

Tim Johnson, Oleg Smirnov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
5.3field-weighted citation impact, top 5% of its field
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, 18 citations in OpenAlex.

  1. The interdependence of relational and material wealth inequality in Pemba, Zanzibar.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  2. 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

2 authors at 2 institutions in 1 country.

Tim JohnsonAtkinson Graduate School of Management, Willamette University, Oregon, 97301, USA. tjohnson@willamette.edu.
Oleg SmirnovDepartment of Political Science, Stony Brook University, New York, 11794, USA.ORCID 0000-0002-9633-910X
Atkins (United States) · USStony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Free-riding produces inequality in the prisoners' dilemma: cooperators suffer costs that defectors avoid, thus putting them at a material disadvantage to their anti-social peers. This inequality, accordingly, conveys information about a social partner's choices in past game play and raises the possibility that agents can use the aggregation of past payoffs-i.e. wealth-to identify a social partner who uses their same strategy. Building on these insights, we study a computational model in which agents can employ a strategy-when playing multiple one-shot prisoners' dilemma games per generation-in which they view other agents' summed payoffs from previous games, choose to enter a PD game with the agent whose summed payoffs most-closely approximate their own, and then always cooperate. Here we show that this strategy of wealth homophily-labelled COEQUALS ("CO-operate with EQUALS")-can both invade an incumbent population of defectors and resist invasion. The strategy succeeds because wealth homophily leads agents to direct cooperation disproportionately toward others of their own type-a phenomenon known as "positive assortment". These findings illuminate empirical evidence indicating that viewable inequality degrades cooperation and they show how a standard feature of evolutionary game models-viz. the aggregation of payoffs during a generation-can double as an information mechanism that facilitates positive assortment.

Identifiers

PMID30072773
PMCPMC6072718
OpenAlexW2883647348

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.