The World Wide Web is growing in size at a remarkable rate.  It is a huge evolving system and its data are rife with uncertainties.  Probability and statistics are the fundamental mathematical tools that enable us to model, reason and infer meaningful results from such data.  Modelling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment.  It focuses on the information and application layers, as well as some of the merging properties of the Internet.

• Provides a comprehensive introduction to the modeling of the Internet and Web at the information  level.
• Takes a modern approach based on mathematical, probabilistic and graphical modeling.
• Provides an integrated presentation of theory, examples, exercies and applications.
• Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web.

Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business and the social sciences.