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 Title: Random Graphs and Complex Networks
 Author(s) Remco van der Hofstad
 Publisher: Cambridge University Press; 1st edition (December 24, 2016); eBook (Draft)
 Hardcover: 236 pages
 eBook: PDF (474 pages)
 Language: English
 ISBN10/ASIN: 110717287X
 ISBN13: 9781107172876
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Book Description
This rigorous introduction to network science presents Random Graphs as models for realworld 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'slevel 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 realworld 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.
About the Authors Remco van der Hofstad is Full Professor of Probability at Eindhoven University of Technology and Acting Scientific Director of the European Institute for Statistics, Probability, Stochastic Operations Research and their Applications (Eurandom).
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