Author: Danillo Barros de Souza; Fernando A N Santos; Everlon Figueiroa; Jailson B Correia; Hernande P da Silva; Jose Luiz de Lima Filho; Jones Albuquerque
Title: Using curvature to infer COVID-19 fractal epidemic network fragility and systemic risk Document date: 2020_4_6
ID: a47l7m47_6
Snippet: As a result, the Ollivier-Ricci curvature emerged as a strong quantitative indicator of the systemic risk in financial networks. From a implementation perspective, [15] proved that there is an alternative, simpler discretization for computing the Ricci curvature, namely the Forman-Ricci curvature, which has analogous properties to the Ollivier-Ricci curvature, with the added value that the Forman-Ricci curvature has a faster computation time in l.....
Document: As a result, the Ollivier-Ricci curvature emerged as a strong quantitative indicator of the systemic risk in financial networks. From a implementation perspective, [15] proved that there is an alternative, simpler discretization for computing the Ricci curvature, namely the Forman-Ricci curvature, which has analogous properties to the Ollivier-Ricci curvature, with the added value that the Forman-Ricci curvature has a faster computation time in large-scale, real-world networks. Therefore, this paper will use the Forman-Ricci curvature as an estimator of fragility in an epidemic network, which is simply defined as follows [16] :
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