In this doctoral thesis, we investigate the complex interplay between temporal dynamics associated with aging and memory and their effects on social and economic systems. To do so, we combine theoretical modeling, to explore the aging implications in threshold (peer pressure) models, and empirical analysis, to address the impact of temporal and spatial patterns in real complex systems, taking the housing market as a case study.
Thesis supervisors: J. Ramasco and M. San Miguel
Jury:
- James Gleeson, Director, SFI Centre for Research Training in Foundations of Data Science, University Limerick, Ireland
- Yamir Moreno, Director, Institute for Biocomputation and Physics of Complex Systems (BIFI) , University of Zaragoza, Spain; Centai Institute, Turin, Italy.
Detalles de contacto:
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