Random graphs and complex networks, Volume 2:

Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-s...

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Bibliographic Details
Main Author: Hofstad, Remco van der 1971- (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2024
Series:Cambridge series on statistical and probabilistic mathematics 54
Subjects:
Online Access:DE-12
DE-634
DE-92
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Summary:Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models
Item Description:Title from publisher's bibliographic system (viewed on 08 Feb 2024)
Physical Description:1 online resource (xvi, 489 pages) digital, PDF file(s)
ISBN:9781316795552
DOI:10.1017/9781316795552

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