This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entailsa conscious balance of concepts versus mathematics. In addition, the examples—including extended cases studies—are drawn widely from the literature. This book should be of substantial interest both to statisticians and to anyone elseworking in the area of ‘network science’. The coverage of topics in this bookis broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, to sampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling,and the modeling, inference, and prediction of networks, network processes, and network flows. This book is the first such resource to present material on all of these core topics in one place. Unified presentation of statistical models and methods from across the variety of disciplines engaged in ‘network science’ Balanced presentation of concepts and mathematics Examples, including extended case studies, drawn widely from applications in the literature INDICE: Introduction and overview.- Preliminaries.- Mapping networks.- Descriptive analysis of network graph characteristics.- Sampling and estimation in network graphs.- Models for network graphs.- Network topology inference.- Modeling and prediction for processes on network graphs.- Analysis of network flow data.- Graphical models.
- ISBN: 978-0-387-88145-4
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 384
- Fecha Publicación: 01/04/2009
- Nº Volúmenes: 1
- Idioma: Inglés