Random Graphs and Complex Networks van Remco van der Hofstad is een Engelstalig gedrukt boek. Deze titel is geschikt voor professionals.
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.
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Inhoudelijk sluit dit boek aan bij onderwerpen als Probability and statistics, Network management, MATHEMATICS / Probability & Statistics / General.
Serie: Cambridge Series in Statistical and Probabilistic Mathematics