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Springer Statistical Analysis of Network Data with R Book

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Description

Master network data analysis with this revised edition from Springer. This book serves as an accessible introduction to conducting statistical analysis of network data using the R programming language. It functions as a stand-alone resource, utilizing multiple R packages to guide you through a complete workflow. Users will learn to perform essential tasks including basic data manipulation, visualization, summary, and characterization. The text also covers the modeling of network data. A central component of the instruction is the igraph package, which offers extensive capabilities for studying network graphs. This updated version includes a complete overhaul to reflect recent changes in the igraph package, ensuring you have current methods for your research and technical projects.

Key Features

This Springer publication provides a complete introduction to the statistical analysis of network data using R.

The text functions as a stand-alone resource for learning how to conduct wide-ranging network analyses.

Learn to perform data manipulation, visualization, and characterization using various R packages.

The book covers the modeling of network data to help you analyze complex structures.

Extensive instruction is provided on the igraph package for studying network graphs in R.

This new edition includes an overhaul to accommodate recent changes in the igraph package.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 June 2020
Listed Since
26 February 2020

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