Výsledky vyhledávání

Report

Inferring firm-level supply chain networks with realistic systemic risk from industry sector-level data

Autor: Fessina, Massimiliano, Cimini, Giulio, Squartini, Tiziano, Astudillo-Estévez, Pablo, Thurner, Stefan, Garlaschelli, Diego

Production networks constitute the backbone of every economic system. They are inherently fragile as several recent crises clearly highlighted. Estimating the system-wide consequences of local disruptions (systemic risk) requires detailed information

Externí odkaz: http://arxiv.org/abs/2408.02467

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Report

Pattern-detection in the global automotive industry: a manufacturer-supplier-product network analysis

Autor: Fessina, Massimiliano, Zaccaria, Andrea, Cimini, Giulio, Squartini, Tiziano

Publikováno v: Chaos Solit. Fractals 181 (114630) (2024)

Production networks arise from supply and customer relations among firms. These systems are gaining growing attention as a consequence of disruptions due to natural or man-made disasters that happened in the last years, such as the Covid-19 pandemic

Externí odkaz: http://arxiv.org/abs/2310.10363

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Report

Which products activate a product? An explainable machine learning approach

Autor: Fessina, Massimiliano, Albora, Giambattista, Tacchella, Andrea, Zaccaria, Andrea

Tree-based machine learning algorithms provide the most precise assessment of the feasibility for a country to export a target product given its export basket. However, the high number of parameters involved prevents a straightforward interpretation

Externí odkaz: http://arxiv.org/abs/2212.03094

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Akademický článek

Pattern-detection in the global automotive industry: A manufacturer-supplier-product network analysis

Autor: Fessina, Massimiliano, Zaccaria, Andrea, Cimini, Giulio, Squartini, Tiziano

Publikováno v: In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena April 2024 181