Statistical analysis of graph structures in random variable networks

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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, an…

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Title Statements

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

Summary

Edition Statements

Publication Date:2020

Publication Statements

Publisher(s):Springer
Place of Publication:Cham, Switzerland
Language:eng
Publication Date:2020

The Physical Object

Description:1 online resource (viii, 101 pages) : : illustrations (some color)

Edition Identifiers

ISBN:9783030602932, 3030602931
DOI:10.1007/978-3-030-60293-2
oclc:on1228649771
LC Classification:QA402
Dewey Decimal:519

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.

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