Emergence of innovations in networked populations with reputation-driven interactions
Resumen: In this work, we analyze how reputation-based interactions influence the emergence of innovations. To do so, we make use of a dynamic model that mimics the discovery process by which, at each time step, a pair of individuals meet and merge their knowledge to eventually result in a novel technology of higher value. The way in which these pairs are brought together is found to be crucial for achieving the highest technological level. Our results show that when the influence of reputation is weak or moderate, it induces an acceleration of the discovery process with respect to the neutral case (purely random coupling). However, an excess of reputation is clearly detrimental, because it leads to an excessive concentration of knowledge in a small set of people, which prevents a diversification of the technologies discovered and, in addition, leads to societies in which a majority of individuals lack technical capabilities.
Idioma: Inglés
DOI: 10.1063/5.0189505
Año: 2024
Publicado en: CHAOS 34, 3 (2024), 033106 [11 pp.]
ISSN: 1054-1500

Factor impacto JCR: 3.2 (2024)
Categ. JCR: PHYSICS, MATHEMATICAL rank: 5 / 61 = 0.082 (2024) - Q1 - T1
Categ. JCR: MATHEMATICS, APPLIED rank: 13 / 343 = 0.038 (2024) - Q1 - T1

Factor impacto SCIMAGO: 0.77 - Physics and Astronomy (miscellaneous) (Q1) - Mathematical Physics (Q2) - Statistical and Nonlinear Physics (Q2) - Applied Mathematics (Q2) - Medicine (miscellaneous) (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Física Materia Condensada (Dpto. Física Materia Condensa.)

Derechos Reservados Derechos reservados por el editor de la revista


Exportado de SIDERAL (2025-09-22-14:29:49)


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