
Analyzing Social Networks Using R
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Analyzing Social Networks Using R
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
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Acknowledgements
- Contents
- About the authors
- Preface
- Glossary of symbols
- Online resources
- 1 Introduction
- 2 Mathematical Foundations
- 3 Research Design
- 4 Data Collection
- 5 Data Management
- 6 Multivariate Techniques Used in Network Analysis
- 7 Visualization
- 8 Local Node-level Measures
- 9 Centrality
- 10 Group-level Measures
- 11 Subgroups and Community Detection
- 12 Equivalence
- 13 Analyzing Two-mode Data
- 14 Introduction to Inferential Statistics for Complete Networks
- 15 ERGMs and SAOMs
- Glossary
- Overview of Datasets used
- Overview of R functions used
- References
- Index