Statistical Analysis of Network Data with R. 2nd ed. 2020

種類:

電子ブック

責任表示:

by Eric D. Kolaczyk, Gábor Csárdi

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

• Kolaczyk, Eric D.
• Csárdi, Gábor.
• SpringerLink (Online service)

シリーズ名:

Use R! ;

ISBN:

9783030441296 [3030441296]    

注記:

1 Introduction -- 2 Manipulating Network Data -- 3 Visualizing Network Data -- 4 Descriptive Analysis of Network Graph Characteristics -- 5 Mathematical Models for Network Graphs -- 6 Statistical Models for Network Graphs -- 7 Network Topology Inference -- 8 Modeling and Prediction for Processes on Network Graphs -- 9 Analysis of Network Flow Data -- 10 Networked Experiments -- 11 Dynamic Networks -- Index.
The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The

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