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pro vyhledávání: '"Marchese, Emiliano"'
Autor:
Macchiati, Valentina, Marchese, Emiliano, Mazzarisi, Piero, Garlaschelli, Diego, Squartini, Tiziano
The level of systemic risk in economic and financial systems is strongly determined by the structure of the underlying networks of interdependent entities that can propagate shocks and stresses. Since changes in network structure imply changes in ris
Externí odkaz:
http://arxiv.org/abs/2409.03349
Autor:
Ialongo, Leonardo Niccolò, de Valk, Camille, Marchese, Emiliano, Jansen, Fabian, Zmarrou, Hicham, Squartini, Tiziano, Garlaschelli, Diego
Publikováno v:
Sci. Rep. 12 (11847) (2022)
Recent crises have shown that the knowledge of the structure of input-output networks at the firm level is crucial when studying economic resilience from the microscopic point of view of firms that rewire their connections under supply and demand sho
Externí odkaz:
http://arxiv.org/abs/2111.15248
Publikováno v:
Chaos Solit. Fractals 164 (112620) (2022)
The Bitcoin Lightning Network (BLN) was launched in 2018 to scale up the number of transactions between Bitcoin owners. Although several contributions concerning the analysis of the BLN binary structure have recently appeared in the literature, the p
Externí odkaz:
http://arxiv.org/abs/2111.13494
Publikováno v:
Comm. Phys. 5 (132) (2022)
The importance of identifying the presence of mesoscale structures in complex networks can be hardly overestimated. So far, much attention has been devoted to the detection of communities, bipartite and core-periphery structures on binary networks: s
Externí odkaz:
http://arxiv.org/abs/2106.05055
Fast and scalable likelihood maximization for Exponential Random Graph Models with local constraints
Autor:
Vallarano, Nicolò, Bruno, Matteo, Marchese, Emiliano, Trapani, Giuseppe, Saracco, Fabio, Cimini, Giulio, Zanon, Mario, Squartini, Tiziano
Publikováno v:
Sci. Rep. 11 (15227) (2021)
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed for reconstructing networks, detecting statistically significant patterns in
Externí odkaz:
http://arxiv.org/abs/2101.12625
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2022 164
Autor:
Marchese, Emiliano1 (AUTHOR) emiliano.marchese@imtlucca.com, Caldarelli, Guido2 (AUTHOR), Squartini, Tiziano1,3 (AUTHOR)
Publikováno v:
Communications Physics. 5/30/2022, Vol. 5 Issue 1, p1-16. 16p.
Akademický článek
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Autor:
Marchese, Emiliano
Analyzing real-world networks ultimately amounts at com- paring their empirical properties with the outcome of a proper, statistical model. The far most common, and most useful, approach to define benchmarks rests upon the so-called canonical formali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85719a35c831a1b6255ebb3d1ec0f198
Reconstructing firm-level interactions in the Dutch input–output network from production constraints
Autor:
Leonardo Niccolò Ialongo, Camille de Valk, Emiliano Marchese, Fabian Jansen, Hicham Zmarrou, Tiziano Squartini, Diego Garlaschelli
Publikováno v:
Scientific Reports, 12(1):11847. NATURE PORTFOLIO
Recent crises have shown that the knowledge of the structure of input–output networks, at the firm level, is crucial when studying economic resilience from the microscopic point of view of firms that try to rewire their connections under supply and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b88f96f9a79ad8f804fa1ed26cef9fb