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
eBook - ePub
Analyzing Social Networks Using R
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Analyzing Social Networks Using R
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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
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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.