Postdoctoral Research Officer at the Institute for New Economic Thinking at the Oxford Martin School
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Analytical and numerical study of the non-linear noisy voter model on complex networks
Chaos (24 July 2018) Full text available
Coupled dynamics of node and link states in complex networks: a model for language competition
New Journal of Physics issue 11 volume 18 page 113056-113056 (30 November 2016)
The noisy voter model on complex networks
Scientific Reports issue 1 volume 6 (20 April 2016)
Markets, Herding and Response to External Information.
PloS one issue 7 volume 10 page e0133287- (January 2015)
Fragmentation transition in a coevolving network with link-state dynamics.
Physical review. E, Statistical, nonlinear, and soft matter physics issue 6 volume 89 page 062802- (4 June 2014)
Adrian is interested in the development of agent-based modelling techniques and the use of analytical tools from statistical physics for the purpose of understanding the economy as a complex system, with a focus on policy assessment. He is currently involved in the MISTRAL project (Multi-scale infrastructure systems analytics), where he uses spatially-distributed agent-based models to study the economic impact of infrastructure investments.
Institute for New Economic Thinking
University of Oxford
Walton Well Road
Oxford OX2 6ED
Adrián obtained a degree in Physics from the Universidade de Santiago de Compostela and a master's degree on Theoretical Physics of Complex Systems from the Université Pierre et Marie Curie (Paris VI). He developed his master's thesis at the École Normale Supérieure (Paris), where he used concepts from statistical mechanics and autocatalytic processes to design a spatial economics model with which to study the role of transportation costs and spatial inhomogeneities in a context of sustainable development. He completed his PhD at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, Palma de Mallorca). During that time he worked on agent-based models of collective dynamics in socio-economic systems, investigating the mechanisms behind processes such as the formation of opinions in social groups, the competition of languages in bilingual communities, and herding behaviour in financial markets.
Major / Recent Publications:
Peralta, A. F., Carro, A., San Miguel, M., Toral, R., (2018). Analytical and numerical study of the non-linear noisy voter model on complex networks. Chaos, 28, 075516.
Carro, A., Toral, R., San Miguel, M. (2016). Coupled dynamics of node and link states in complex networks: A model for language competition. New Journal of Physics, 18, 113056.
Carro, A., Toral, R., San Miguel, M., (2016). The noisy voter model on complex networks. Scientific Reports, 6, 24775.
Carro, A., Toral, R., San Miguel, M. (2015). Markets, Herding and Response to External Information. PLoS ONE, 10(7), e0133287.
Carro, A., Vazquez, F., Toral, R., San Miguel, M. (2014). Fragmentation transition in a coevolving network with link-state dynamics. Physical Review E, 89(6), 062802.
Carro, A., Toral, R., San Miguel, M. (2013). The role of noise and initial conditions in the asymptotic solution of a bounded confidence, continuous-opinion model. Journal of Statistical Physics, 151(1-2), 131-149.