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This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
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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). He has authored over 100 research articles and has taught courses on random graphs at over ten institutions. He received the 2003 Prix Henri Poincaré (jointly with Gordon Slade) and the 2007 Rollo Davidson Prize, and he is a laureate of the 2003 Innovative Research VIDI Scheme and the 2008 Innovative Research VICI Scheme.
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Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
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Cambridge University Press, 2016
ISBN 10: 110717287X
ISBN 13: 9781107172876
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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_402590789
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Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
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Cambridge University Press, 2016
ISBN 10: 110717287X
ISBN 13: 9781107172876
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Hardcover. Condizione: Good. No dustjacket as issued. Visible indent about 1 inch long to bottom left of front cover, otherwise light shelf wear. Binding tight. All pages intact and free of marks. Codice articolo 060725k08
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Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
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Random Graphs and Complex Networks
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Cambridge University Press, 2016
ISBN 10: 110717287X
ISBN 13: 9781107172876
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Random Graphs and Complex Networks (Hardcover)
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Cambridge University Press, Cambridge, 2016
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Hardcover. Condizione: new. Hardcover. 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. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781107172876
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Random Graphs and Complex Networks: Volume 1 (Cambridge Series in Statistical and Probabilistic Mathematics)
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Cambridge University Press CUP, 2016
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ISBN 13: 9781107172876
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Random Graphs and Complex Networks: Volume 1 (Cambridge Series in Statistical and Probabilistic Mathematics)
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