Analyzing Social Networks Using R
eBook - ePub

Analyzing Social Networks Using R

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way.

The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it:

• Discusses measures and techniques for analyzing social network data, including digital media 
• Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks
• Offers digital resources like practice datasets and worked examples that help you get to grips with R software

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Yes, you can access Analyzing Social Networks Using R by Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Acknowledgements
  7. Contents
  8. About the authors
  9. Preface
  10. Glossary of symbols
  11. Online resources
  12. 1 Introduction
  13. 2 Mathematical Foundations
  14. 3 Research Design
  15. 4 Data Collection
  16. 5 Data Management
  17. 6 Multivariate Techniques Used in Network Analysis
  18. 7 Visualization
  19. 8 Local Node-level Measures
  20. 9 Centrality
  21. 10 Group-level Measures
  22. 11 Subgroups and Community Detection
  23. 12 Equivalence
  24. 13 Analyzing Two-mode Data
  25. 14 Introduction to Inferential Statistics for Complete Networks
  26. 15 ERGMs and SAOMs
  27. Glossary
  28. Overview of Datasets used
  29. Overview of R functions used
  30. References
  31. Index