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Statistical analysis of network data : methods and models

Author: Eric D Kolaczyk
Publisher: New York ; [London] : Springer, ©2009.
Series: Springer series in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This text 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 entails a conscious balance of concepts versus mathematics.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Eric D Kolaczyk
ISBN: 9780387881454 038788145X 144192776X 9781441927767
OCLC Number: 288985465
Description: xii, 386 pages : illustrations ; 24 cm
Contents: 1. Introduction and Overview --
2. Preliminaries --
3. Mapping Networks --
4. Descriptive Analysis of Network Graph Characteristics --
5. Sampling and Estimation in Network Graphs --
6. Models for Network Graphs --
7. Network Topology Inference --
8. Modeling and Prediction for Processes on Network Graphs --
9. Analysis of Network Flow Data --
10. Graphical Models.
Series Title: Springer series in statistics.
Responsibility: Eric D. Kolaczyk.

Abstract:

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.  Read more...

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From the reviews:"...Accessible and easy to read...strikes a balance between concepts and mathematical detail. ...This book is a superb introduction to a fascinating area." (International Statistical Read more...

 
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