Maxi San Miguel
Director
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Oficina 213
- +34 971 17 32 29
- Contact
Perfil
Fields of current interest: Statistical Physics, Stochastic processes, Nonequilibirum phenomena, Nonlinear phenomena, Spatiotemporal complexity, Complex Networks, Computational Social Sciences. Contributions also in Nonlinear and Quantum Optics, Photonics and Semiconductor lasers. Open to any creative scientific challenge.
Topics and Collaborators
Google scholar profile: maxi san miguel
ResearcherID: G-3224-2015
ORCID: 0000-0001-6237-425X
Topics and Collaborators
Google scholar profile: maxi san miguel
ResearcherID: G-3224-2015
ORCID: 0000-0001-6237-425X
Publicacions recents
Absorbing phase transition in the coupled dynamics of node and link states in random networks
Meghdad Saeedian , Maxi San Miguel, and Raul Toral Scientific Reports 9, 9726 (2019)
Chimera and anticoordination states in learning dynamics
Lugo, Haydée; González-Avella, Juan Carlos; San Miguel, MaxiFrontiers in Applied Mathematics and Statistics 5, 16 (2019)
Multilayer coevolution dynamics of the nonlinear voter model
Min, Byungjoon; San Miguel, MaxiNew Journal of Physics 21, 035004 (2019)
Coordination in a skeptical two-group population
González-Avella, Juan Carlos; Lugo, Haydée; San Miguel, MaxiJournal of Economic Interaction and Coordination 14, 203-214 (2019)
Herding and idiosyncratic choices: Nonlinearity and aging-induced transitions in the noisy voter model
Artime, Oriol; Carro, Adrián; F. Peralta, Antonio; Ramasco, José J.; San Miguel, Maxi; Toral, Raúl .Comptes Rendus Physique , (2019)
Projectes de recerca recents i vigents
PACSS
Physics approach to complexity in sociotechnical systems
I.P.: Raúl Toral
This project, Physics approach to complexity in sociotechnical systems (PACSS), wants to contribute to the understanding of sociotechnical phenomena from the perspective provided by the application of the modern field of complex ...
COSTNET
European Cooperation for Statistics of Network Data Science
I.P.: Maxi San Miguel
A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed ...