This book investigates the structure, properties, and applications of the web graph, a complex network representing the World Wide Web. It presents research from the 7th International Workshop on Algorithms and Models for the Web Graph (WAW 2010), focusing on theoretical models and practical algorithms for analyzing large-scale web data. The proceedings explore various aspects of web graph analysis, including link prediction, community detection, and the impact of evolving web structures.

This collection of proceedings from the WAW 2010 workshop offers a snapshot of contemporary research in web graph analysis. The papers likely cover a range of theoretical and applied topics, appealing to researchers and practitioners in computer science, network science, and data mining. The focus on algorithms and models suggests a technically oriented audience interested in the mathematical and computational underpinnings of web structure.