Social Analytics

Social Analytics

Network and Text Methods with NodeXL and R

Edition 1.0 | Copyright 2019 | Publication Date: September 2018

Shaila Miranda, University of Oklahoma


Social Analytics: Network and Text Methods with NodeXL and R offers opportunities for hands-on engagement with coursework through its two-part approach in covering both social network analysis and text analysis and mining. The first part of this text addresses what social analytics can do and the foundational concepts of the field. Then, readers attain familiarity with tools and techniques by employing easy-to-use software and implementing methods in R.


Broader Coverage of Social Data Analytics
Present social network analysis, text analysis and mining together.

Software Tutorials and Exercises
Reinforce concepts with software tutorials and exercises that complement the text.

Real-Life Relevance
Engage readers with current, compelling examples that reflect the relevance of social analytics in contemporary daily life.

Table of Contents

Detailed Table of Contents PDF
  • Part I: Introduction
  • Chapter 1: What Is Social Analytics?
  • Chapter 2: Some Uses of Social Analytics

  • Part II: Social Network Analysis
  • Chapter 3: Introduction to Social Network Analysis (SNA)
  • Chapter 4: Visualizing Networks and SNA with R
  • Chapter 5: Advanced SNA Concepts
  • Chapter 6: Subgroup Analysis with R

  • Part III: Text Analysis and Mining
  • Chapter 7: Introduction to Text Analysis
  • Chapter 8: Basic Text Analytics with R
  • Chapter 9: An Introduction to Text Mining
  • Chapter 10: Information Extraction with R
  • Chapter 11: Association Mining with R

  • Part IV: Conclusion
  • Chapter 12: Ethical Social Analytics

  • Appendices
  • Appendix A: Introduction to R
  • Appendix B: Statistical Analysis with R
  • Appendix C: Scraping Twitter with R
  • Appendix D: Scraping Facebook with R
  • Appendix E: Advanced Visualization in R
  • Appendix F: Additional R Resources

About the Author

Shaila Miranda is the John E. Mertes Professor of MIS at the University of Oklahoma’s Price College of Business. Dr. Miranda’s research, which has been published in MIS Quarterly and Information Systems Research, most recently applies the core methods of social analytics to investigate topics such as how Fortune 50 companies describe their use of social media in press releases and how traditional news media versus social media cover public policy issues.

Shaila Miranda

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