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Nicolo Musmeci
Nicolo Musmeci
Tesco
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Title
Cited by
Cited by
Year
Relation between financial market structure and the real economy: comparison between clustering methods
N Musmeci, T Aste, T Di Matteo
PloS one 10 (3), e0116201, 2015
982015
Bootstrapping topological properties and systemic risk of complex networks using the fitness model
N Musmeci, S Battiston, G Caldarelli, M Puliga, A Gabrielli
Journal of Statistical Physics 151, 720-734, 2013
972013
The multiplex dependency structure of financial markets
N Musmeci, V Nicosia, T Aste, T Di Matteo, V Latora
Complexity 2017 (1), 9586064, 2017
902017
Risk diversification: a study of persistence with a filtered correlation-network approach
N Musmeci, T Aste, T Di Matteo
arXiv preprint arXiv:1410.5621, 2014
682014
Synchronization analysis of language and physiology in human dyads
FF Orsucci, N Musmeci, B Aas, G Schiepek, MA Reda, L Canestri, ...
Nonlinear dynamics, psychology, and life sciences 20 (2), 167-191, 2016
442016
Interplay between past market correlation structure changes and future volatility outbursts
N Musmeci, T Aste, T Di Matteo
Scientific Reports 6, 36320, 2016
312016
Measuring empathy: A statistical physics grounded approach
JR Kleinbub, A Palmieri, FF Orsucci, S Andreassi, N Musmeci, E Benelli, ...
Physica A: Statistical Mechanics and its Applications 526, 120979, 2019
272019
Two different flavours of complexity in financial data
RJ Buonocore, N Musmeci, T Aste, TD Matteo
The European Physical Journal Special Topics 225, 3105-3113, 2016
182016
Reconstructing topological properties of complex networks using the fitness model
G Cimini, T Squartini, N Musmeci, M Puliga, A Gabrielli, D Garlaschelli, ...
Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spainá…, 2015
102015
What does past correlation structure tell us about the future
N Musmeci, T Aste, T Di Matteo
An answer from network filtering. ArXiv e-prints, 2016
52016
Dynamical Filtered Graphs in Finance
N Musmeci
King's College London, 2016
2016
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Articles 1–11