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Statistical analysis of graph struct...

Kalyagin, V. A.

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Statistical analysis of graph structures in random variable networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical analysis of graph structures in random variable networks/ by V. A. Kalyagin ... [et al.].
other author:	Kalyagin, V. A.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	viii, 101 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Random variable networks. -3. Network Identification Structure Algorithms -- 4. Uncertainty of Network Structure Identification -- 5. Robustness of Network Structure Identification -- 6. Optimality of Network Structure Identification -- 7. Applications to Market Network Analysis -- 8. Conclusion -- 9. References.
Contained By:	Springer Nature eBook
Subject:	Computer networks - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-030-60293-2
ISBN:	9783030602932

Statistical analysis of graph structures in random variable networks
Statistical analysis of graph structures in random variable networks[electronic resource] /by V. A. Kalyagin ... [et al.]. - Cham :Springer International Publishing :2020. - viii, 101 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in optimization,2190-8354. - SpringerBriefs in optimization..

1. Introduction -- 2. Random variable networks. -3. Network Identification Structure Algorithms -- 4. Uncertainty of Network Structure Identification -- 5. Robustness of Network Structure Identification -- 6. Optimality of Network Structure Identification -- 7. Applications to Market Network Analysis -- 8. Conclusion -- 9. References.

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.

ISBN: 9783030602932

Standard No.: 10.1007/978-3-030-60293-2doiSubjects--Topical Terms:

3528988
Computer networks
--Statistical methods.

LC Class. No.: TK5105.5

Dewey Class. No.: 004.6

Statistical analysis of graph structures in random variable networks
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245 0 0 $a Statistical analysis of graph structures in random variable networks $h [electronic resource] / $c by V. A. Kalyagin ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a viii, 101 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in optimization, $x 2190-8354
505 0 $a 1. Introduction -- 2. Random variable networks. -3. Network Identification Structure Algorithms -- 4. Uncertainty of Network Structure Identification -- 5. Robustness of Network Structure Identification -- 6. Optimality of Network Structure Identification -- 7. Applications to Market Network Analysis -- 8. Conclusion -- 9. References.
520 $a 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.
650 0 $a Computer networks $x Statistical methods. $3 3528988
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650 0 $a System analysis. $3 545616
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650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
700 1 $a Kalyagin, V. A. $3 3528987
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