Evidence map›Paper›PMID 42031936›Full record

ArticleScientific reports2026

Individual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner's Dilemma driven by extraversion, openness, and agreeableness.

David Abián, Jorge Bernad, Sergio Ilarri, Raquel Trillo-Lado

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

David AbiánDepartamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, 50018, Zaragoza, Spain. abian@unizar.es.ORCID http://orcid.org/0000-0002-4405-3652
Jorge Bernad *Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, 50018, Zaragoza, Spain.
Sergio Ilarri *Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, 50018, Zaragoza, Spain.
Raquel Trillo-LadoDepartamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, 50018, Zaragoza, Spain.

Funding

Agencia Estatal de Investigación PID2020-113037RB-I00
6 · The paper itself

Abstract

How do stable personality differences shape cooperation when social ties can form and dissolve? We model a repeated Prisoner's Dilemma on an endogenous network in which three continuous Big Five traits map to transparent local mechanisms: Extraversion sets a target number of partners, Openness determines how broadly agents search beyond friends-of-friends, and Agreeableness sets a baseline willingness to cooperate. At each encounter, agents combine this baseline with the partner's directly observed history; there are no trait labels, gossip, or global reputations. Ties form when agents are under-connected and are cut when they become over-connected, with cuts prioritising partners who have defected more often. We vary network size (N=30-200), population composition, and the balance between trait-driven and history-driven behaviour. Three robust patterns emerge. First, cooperate first, then reciprocate-high initial willingness to cooperate combined with history-sensitive response-produces systems that are simultaneously more prosperous, fairer, and safer. Second, personality has predictable conditional effects: Agreeableness helps when history matters but hurts when behaviour is mostly trait-driven; Extraversion amplifies the environment; Openness has little net payoff effect. Third, the network reorganises accordingly: degree assortativity stays near zero, whereas agreeable agents increasingly connect to one another when cooperation takes hold.

Indexed as

Cooperative BehaviorExtraversion, PsychologicalPersonalityPrisoner DilemmaHumansInterpersonal RelationsAgent-based modellingBig Five personality traitsDynamic social networksInequalityPrisoner’s DilemmaReciprocity

Identifiers

PMID42031936
PMCPMC13276042

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.