Statistical Analysis of Network Data Methods and Models /

• Main Author: Kolaczyk, Eric D. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Data mining.; Bioinformatics.; Physics.; Mathematical statistics.; Engineering.; Telecommunication.; Social sciences > Methodology.; Communications Engineering, Networks.; Methodology of the Social Sciences.; Data Mining and Knowledge Discovery.; Complexity.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-88146-1

In the past decade, the study of networks has increased dramatically. Researchers from across the sciencesincluding biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statisticsare more and more involved with the collection and statistical an...

Table of Contents:

• 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.