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Random graphs and complex networks.....

Hofstad, Remco van der.

Random graphs and complex networks.. Volume 1

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Random graphs and complex networks./ Remco van der Hofstad.
作者:	Hofstad, Remco van der.
出版者:	Cambridge :Cambridge University Press, : 2017.,
面頁冊數:	xvi, 321 p. :ill., digital ; : 24 cm.;
標題:	Random graphs. -
電子資源:	https://doi.org/10.1017/9781316779422
ISBN:	9781316779422

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

Random graphs and complex networks.Volume 1[electronic resource] /Remco van der Hofstad. - Cambridge :Cambridge University Press,2017. - xvi, 321 p. :ill., digital ;24 cm. - Cambridge series in statistical and probabilistic mathematics ;43. - Cambridge series on statistical and probabilistic mathematics ;32..

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: 9781316779422Subjects--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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300 $a xvi, 321 p. : $b ill., digital ; $c 24 cm.
490 1 $a Cambridge series in statistical and probabilistic mathematics ; $v 43
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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856 4 0 $u https://doi.org/10.1017/9781316779422

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