Networks : probability and statistics / A. D. Barbour, Gesine Reinert.

Format:

Book

Author/Creator:

Barbour, A. D., Author.

Reinert, Gesine, author.

Series:

Cambridge series in statistical and probabilistic mathematics ; 57.

Cambridge series in statistical and probabilistic mathematics ; 57

Language:

English

Subjects (All):

Random graphs--Data processing.

Random graphs.

Probabilities--Data processing.

Probabilities.

Statistics--Data processing.

Statistics.

Physical Description:

1 online resource (xix, 962 pages) : digital, PDF file(s).

Edition:

1st ed.

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2026.

Summary:

From social networks to biological systems, networks are a fundamental part of modern life. Network analysis is increasingly popular across the mathematical, physical, life and social sciences, offering insights into a range of phenomena, from developing new drugs based on intracellular interactions, to understanding the influence of social interactions on behaviour patterns. This book provides a toolkit for analyzing random networks, together with theoretical justification of the methods proposed. It combines methods from both probability and statistics, teaching how to build and analyze plausible models for random networks, and how to validate such models, to detect unusual features in the data, and to make predictions. Theoretical results are motivated by applications across a range of fields, and classical data sets are used for illustration throughout the book. This book offers a comprehensive introduction to the field for graduate students and researchers.

Notes:

Title from publisher's bibliographic system (viewed on 12 Jun 2026).

ISBN:

1-009-65175-7

9781009651745