Maxi San Miguel

Maximino San Miguel Ruibal

Director

Profile
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

Recent Publications

Joint effect of ageing and multilayer structure prevents ordering in the voter model

Artime, Oriol; Fernández-Gracia, Juan; Ramasco, José J.; San Miguel, Maxi
Submitted (2017)

On the shape of semantic space - what can we infer from large-scale statistical properties of texts?

Czegel,Daniel (Supervisor: Maxi San Miguel)
Master Thesis (2017)

Language choice in a multilingual society: A view from Complexity Theory

San Miguel, Maxi; Loureiro-Porto, Lucia
Complexity in language: Developmental and evolutionary perspectives, Eds. Salikoko Mufwene, C. Coupe and F. Pellegrino, Cambridge University Press, 187-217 (2017)

Dynamics on networks: competition of temporal and topological correlations

Artime, Oriol; Ramasco, José J.; San Miguel, Maxi
Scientific Reports 7, 41627 (2017)

Robust multiculturality emerges from layered social influence

Battiston, Federico; Nicosia, Vicenzo; Latora, Vito; San Miguel, Maxi
Scientific Reports 7, 1809 (2017)

Ongoing Research projects

ESoTECoS

Emergent social, technical and ecological complex systems

P.I.: Pere Colet, Maxi San Miguel, Raúl Toral
The project ESoTECoS constitutes an approximation from the perspective of the physics of complex systems to the societal challenges within the field of Social Changes and Innovation. The project background lays in ...

COMSOTEC

Sistemas Complejos Socio-tecnológicos

P.I.: Maxi San Miguel
El objetivo de SocioComplex es unir las principales fuerzas de la investigación española en Ciencia de la Complejidad (CS) en el contexto de los sistemas socio-tecnológicos. El Big Data y los avances ...

COSTNET

European Cooperation for Statistics of Network Data Science

P.I.: 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 ...

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