This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified fram...

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Bibliographic Details

Main Author:	Hofstad, Remco van der (Author)
Format:	Electronic eBook
Language:	English
Published:	Cambridge Cambridge University Press 2017
Series:	Cambridge series on statistical and probabilistic mathematics 43
Subjects:	Random graphs Netzwerk > Graphentheorie Zufallsgraph Graphentheorie Komplexes System
Online Access:	BSB01 FHN01 Volltext
Summary:	This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models
Item Description:	Title from publisher's bibliographic system (viewed on 31 Jan 2017)
Physical Description:	1 online resource (xvi, 321 pages)
ISBN:	9781316779422
DOI:	10.1017/9781316779422