000171252 001__ 171252
000171252 005__ 20260515163946.0
000171252 0247_ $$2doi$$a10.1038/s41598-026-49942-w
000171252 0248_ $$2sideral$$a149247
000171252 037__ $$aART-2026-149247
000171252 041__ $$aeng
000171252 100__ $$0(orcid)0000-0002-4405-3652$$aAbián, David$$uUniversidad de Zaragoza
000171252 245__ $$aIndividual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner’s Dilemma driven by extraversion, openness, and agreeableness
000171252 260__ $$c2026
000171252 5060_ $$aAccess copy available to the general public$$fUnrestricted
000171252 5203_ $$aHow 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.
000171252 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T42-23R$$9info:eu-repo/grantAgreement/ES/DGA/T64-23R
000171252 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000171252 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000171252 700__ $$aBernad, Jorge
000171252 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza
000171252 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000171252 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000171252 773__ $$g(2026), [14 pp.]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000171252 8564_ $$s1177635$$uhttps://zaguan.unizar.es/record/171252/files/texto_completo.pdf$$yVersión publicada
000171252 8564_ $$s1390616$$uhttps://zaguan.unizar.es/record/171252/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000171252 909CO $$ooai:zaguan.unizar.es:171252$$particulos$$pdriver
000171252 951__ $$a2026-05-15-14:56:00
000171252 980__ $$aARTICLE