Statistical analysis of graph structures in random variable networks [Documento eletrónico] / by V. A. Kalyagin ... [et al.]
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 onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA402.5.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 96905 |
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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