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A User’s Guide to Network Analysis in R

  • Book
  • © 2015

Overview

Authors:
  1. Douglas Luke

    1. Center for Public Health Systems Science, George Warren Brown School of Social Work, Washington University, St. Louis, USA

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  • Provides a practical, hands-on tour of the major network analytic tasks R is capable of, including network data management, network visualization, network description, and network modeling
  • Includes all R code needed for examples used throughout the book
  • Serves as an excellent reference resource for teaching and learning network science, analytics, and techniques
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introducing Network Analysis in R

    • Douglas A. Luke
    Pages 1-8

  3. Network Analysis Fundamentals

    1. Front Matter

      Pages 9-9
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    2. The Network Analysis ‘Five-Number Summary’

      • Douglas A. Luke
      Pages 11-16

    3. Network Data Management in R

      • Douglas A. Luke
      Pages 17-41

  4. Visualization

    1. Front Matter

      Pages 43-43
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    2. Basic Network Plotting and Layout

      • Douglas A. Luke
      Pages 45-53

    3. Effective Network Graphic Design

      • Douglas A. Luke
      Pages 55-72

    4. Advanced Network Graphics

      • Douglas A. Luke
      Pages 73-87

  5. Description and Analysis

    1. Front Matter

      Pages 89-89
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    2. Actor Prominence

      • Douglas A. Luke
      Pages 91-104

    3. Subgroups

      • Douglas A. Luke
      Pages 105-123

    4. Affiliation Networks

      • Douglas A. Luke
      Pages 125-144

  6. Modeling

    1. Front Matter

      Pages 145-145
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    2. Random Network Models

      • Douglas A. Luke
      Pages 147-162

    3. Statistical Network Models

      • Douglas A. Luke
      Pages 163-187

    4. Dynamic Network Models

      • Douglas A. Luke
      Pages 189-215

    5. Simulations

      • Douglas A. Luke
      Pages 217-234

  7. Back Matter

    Pages 235-238
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Keywords

About this book

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.

Authors and Affiliations

  • Center for Public Health Systems Science, George Warren Brown School of Social Work, Washington University, St. Louis, USA

    Douglas Luke

About the author

Douglas Luke is Professor and Director of the Center for Public Health Systems Science at the George Warren Brown School of Social Work at Washington University in St. Louis. He is a leading researcher in the fields of health policy, and his work focuses on the evaluation, dissemination, and implementation of evidence-based public health policies. Dr. Luke has worked extensively with systems science methodologies, especially the analysis of social networks with regards to the implementation of public health policies. He is a member of the Institute for Public Health, a founding member of the Washington University Network of Dissemination and Implementation Researchers (WUNDIR), and serves on the Interagency Committee on Smoking and Health at the U.S. Department of Health and Human Services.

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