Statistical analysis of graph structures in random variable networks

Statistical analysis of graph structures in random variable networks / V.A. Kalyagin, A.P. Koldanov, P.A. Koldanov, P.M. Pardalos.

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 netwo...

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Bibliographic Details
Main Authors: Kalyagin, Valery A. (Author), Koldanov, A. P. (Author), Koldanov, P. A. (Author), Pardalos, P. M. (Panos M.), 1954- (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:SpringerBriefs in optimization,
Subjects:
Computer networks > Statistical methods.
Network computers > Statistical methods.
System analysis.
systems analysis.
Redes informáticas > Métodos estadísticos
Análisis de sistemas
System analysis
Online Access:Click for online access
Description
Summary: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.
Physical Description:1 online resource (viii, 101 pages) : illustrations (some color)
Bibliography:Includes bibliographical references.
ISBN:9783030602932
3030602931
ISSN:2190-8354
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed February 16, 2021).

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