Details for: Statistical analysis of graph structures in random variable networks

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Statistical analysis of graph structures in random variable networks [Documento eletrónico] / by V. A. Kalyagin ... [et al.]

Coauthor: Kalyagin, Valery A., co-aut.Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer, 2020Description: VIII, 101 p. : il.ISBN: 978-3-030-60293-2.Series: SpringerBriefs in OptimizationSubject - Topical Name: Mathematical optimization | Computer engineering | Computer networks | Probabilities | Neural networks (Computer science) Online Resources:Click here to access online

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
E-Books	Biblioteca NOVA FCT Online	Não Ficção	QA402.5.SPR FCT (Browse shelf(Opens below))	1	Available		96905

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This book presents new theoretical approaches for statistical network analysis in random variable networks. Robustness and optimality of statistical procedures for various network structures are detailed and analyzed. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and brain networks are presented through a theoretical analysis which identifies network structures. Graduate students and researchers in computer science, mathematics, and optimization will find the applications and techniques presented useful.

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