T
Tiziano Squartini
Researcher at IMT Institute for Advanced Studies Lucca
Publications - 137
Citations - 3824
Tiziano Squartini is an academic researcher from IMT Institute for Advanced Studies Lucca. The author has contributed to research in topics: Complex network & Financial networks. The author has an hindex of 29, co-authored 126 publications receiving 2947 citations. Previous affiliations of Tiziano Squartini include Leiden University & Sapienza University of Rome.
Papers
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Unbiased sampling of network ensembles
Tiziano Squartini,Tiziano Squartini,Rossana Mastrandrea,Rossana Mastrandrea,Diego Garlaschelli +4 more
TL;DR: In this article, the authors proposed a method to sample ensembles of networks where the constraints are soft, i.e. realized as ensemble averages, based on exact maximum-entropy distributions and is therefore unbiased by construction.
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A study on wear resistance and microcrack of the Ti3Al/TiAl + TiC ceramic layer deposited by laser cladding on Ti–6Al–4V alloy
TL;DR: In this article, the performance of the particle-dispersed Ti3Al/TiAl matrix ceramic layer on the Ti-6Al-4V alloy by laser cladding has been investigated by means of X-ray diffraction, scanning electron microscope, electron probe micro-analyzer, energy dispersive spectrometer.
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Inferring monopartite projections of bipartite networks: An entropy-based approach
Fabio Saracco,Mika J. Straka,Riccardo Di Clemente,Andrea Gabrielli,Guido Caldarelli,Tiziano Squartini +5 more
TL;DR: This paper proposes an algorithm to obtain statistically-validated projections of bipartite networks, according to which any two nodes sharing a statistically-significant number of neighbors are linked, defined within the exponential random graph framework.
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Null models of economic networks: the case of the world trade web
TL;DR: In this article, the authors study the evolution of the WTW using a recently-proposed family of null network models and show that node-degree sequences are sufficient to explain higher-order network properties such as disassortativity and clustering-degree correlation, especially in the last part of the sample.
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The Statistical Physics of Real-World Networks
Giulio Cimini,Giulio Cimini,Tiziano Squartini,Fabio Saracco,Diego Garlaschelli,Diego Garlaschelli,Andrea Gabrielli,Andrea Gabrielli,Guido Caldarelli +8 more
TL;DR: In this article, a survey of statistical physics models that reproduce more complex, semi-local network features using Markov chain Monte Carlo sampling, as well as the models of generalised network structures such as multiplex networks, interacting networks and simplicial complexes is presented.