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Random graphs and complex networks.. Volume 1 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Random graphs and complex networks./ Remco van der Hofstad, Technische Universiteit Eindhoven.
Author:	Hofstad, Remco van der,
Description:	1 online resource (xvi, 321 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 31 Jan 2017).
Subject:	Random graphs. -
Online resource:	https://doi.org/10.1017/9781316779422
ISBN:	9781316779422 (ebook)

Random graphs and complex networks.. Volume 1 /
Hofstad, Remco van der,

Random graphs and complex networks.Volume 1 /Remco van der Hofstad, Technische Universiteit Eindhoven. - 1 online resource (xvi, 321 pages) :digital, PDF file(s). - Cambridge series in statistical and probabilistic mathematics ;43. - Cambridge series on statistical and probabilistic mathematics ;32..

Title from publisher's bibliographic system (viewed on 31 Jan 2017).

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.

ISBN: 9781316779422 (ebook)Subjects--Topical Terms:

580184
Random graphs.

LC Class. No.: QA166.17 / .H64 2017

Dewey Class. No.: 511/.5

Random graphs and complex networks.. Volume 1 /
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520 $a 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.
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