Statistical Analysis of Network Data

Eric D. Kolaczyk

ISBN 10: 144192776X / ISBN 13: 9781441927767

Edité par Springer New York, Springer US Dez 2010, 2010

A propos de cet article

Neuware -In recent years there has been an explosion of network data ¿ that is, measu- ments that are either of or from a system conceptualized as a network ¿ from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ¿network science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.

N° de réf. du vendeur 9781441927767

Détails bibliographiques

• Titre: Statistical Analysis of Network Data
• Éditeur: Springer New York, Springer US Dez 2010
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 144192776X
• ISBN à 13 chiffres: 9781441927767
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This book is useful both to people in the statistics community and in the various communities in which networks currently are heavily used, such as parts of biology, computer science, engineering, physics, and sociology.

Présentation de l'éditeur

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 balances concepts and mathematics.