Lugo Arocha, Haydeé CorinaSan Miguel, Maxi2023-06-192023-06-1920152045-232210.1038/srep07776https://hdl.handle.net/20.500.14352/34199We introduce a two layer network model for social coordination incorporating two relevant ingredients: a) different networks of interaction to learn and to obtain a pay-off, and b) decision making processes based both on social and strategic motivations. Two populations of agents are distributed in two layers with intralayer learning processes and playing interlayer a coordination game. We find that the skepticism about the wisdom of crowd and the local connectivity are the driving forces to accomplish full coordination of the two populations, while polarized coordinated layers are only possible for all-to-all interactions. Local interactions also allow for full coordination in the socially efficient Pareto-dominant strategy in spite of being the riskier one.engAtribución-NoComercial-SinDerivadas 3.0 Españahttps://creativecommons.org/licenses/by-nc-nd/3.0/es/journal articlehttps://doi.org/10.1038/srep07776open accessComputer simulationGame theoryHumansLearningTheoretical modelsSocial supportTime factorsTeoría de JuegosEconometría (Economía)Aprendizaje1207.06 Teoría de Juegos5302 Econometría6104.03 Leyes del Aprendizaje