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.
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Analytical maximum-likelihood method to detect patterns in real networks
TL;DR: The method reveals that the null behavior of various correlation properties is different from what previously believed, and highly sensitive to the particular network considered, and shows that important structural properties are currently based on incorrect expressions and provides the exact quantities that should replace them.
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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: This Review describes advances in the statistical physics of complex networks and provides a reference for the state of the art in theoretical network modelling and applications to real-world systems for pattern detection and network reconstruction.
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Early-warning signals of topological collapse in interbank networks
TL;DR: This work analyzes the quarterly interbank exposures among Dutch banks over the period 1998–2008, ending with the crisis, and finds that many topological properties display an abrupt change in 2008, providing a clear – but unpredictable – signature of the crisis.
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Randomizing bipartite networks: the case of the World Trade Web
TL;DR: Interestingly, the behavior of the World Trade Web in this new bipartite representation is strongly different from the monopartite analogue, showing highly non-trivial patterns of self-organization.
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Randomizing world trade. I. A binary network analysis
TL;DR: It is shown that, remarkably, the properties of all binary projections of the ITN can be completely traced back to the degree sequence, which is therefore maximally informative and should instead become one the main focuses of models of trade.