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A User’s Guide to Network Analysis in R

  • Douglas Luke

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Douglas A. Luke
    Pages 1-8
  3. Network Analysis Fundamentals

    1. Front Matter
      Pages 9-9
    2. Douglas A. Luke
      Pages 17-41
  4. Visualization

    1. Front Matter
      Pages 43-43
    2. Douglas A. Luke
      Pages 45-53
    3. Douglas A. Luke
      Pages 55-72
    4. Douglas A. Luke
      Pages 73-87
  5. Description and Analysis

    1. Front Matter
      Pages 89-89
    2. Douglas A. Luke
      Pages 91-104
    3. Douglas A. Luke
      Pages 105-123
    4. Douglas A. Luke
      Pages 125-144
  6. Modeling

    1. Front Matter
      Pages 145-145
    2. Douglas A. Luke
      Pages 147-162
    3. Douglas A. Luke
      Pages 163-187
    4. Douglas A. Luke
      Pages 189-215
    5. Douglas A. Luke
      Pages 217-234
  7. Back Matter
    Pages 235-238

About this book

Introduction

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

Keywords

R software mathematical visualization network analysis

Authors and affiliations

  • Douglas Luke
    • 1
  1. 1.Center for Public Health Systems Science, George Warren Brown School of Social WorkWashington UniversitySt. LouisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-23883-8
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-23882-1
  • Online ISBN 978-3-319-23883-8
  • Series Print ISSN 2197-5736
  • Series Online ISSN 2197-5744
  • Buy this book on publisher's site