Probability, Stochastic Process, Queueing Theory, etc.
Reference documents in Probability, Stochastic Process, Queueing Theory, etc..
Documents in Probability, Stochastic Process, Queueing Theory, etc.
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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.
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This book is concerned with certain aspects of discrete probability on infinite graphs that are currently in vigorous development. Of course, finite graphs are analyzed as well, but usually with the aim of understanding infinite graphs and networks.
