Network and Text Methods with NodeXL and R
Shaila Miranda, University of Oklahoma
Publication date: September 19, 2018
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Description & Features
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Social Analytics: Network and Text Methods with NodeXL and R covers both social network analysis and text analysis and mining. Readers benefit most from engaging it in a hands-on fashion. The first part addresses what social analytics can do and the foundational concepts of the field. Next, readers attain familiarity with tools and techniques, employing easy-to-use software and implementing methods in R.
- Social network analysis and text analysis and mining are presented together
- Software tutorials and exercises complement the text
- Current, compelling examples engage readers and 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
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
Dr. Shaila Miranda is the John E. Mertes Professor of MIS at the University of Oklahoma’s Price College of Business. She obtained her doctorate from the University of Georgia, with a major in Management Information Systems and a minor in Computer Science. She also has an MA in Sociology from Columbia University, along with an MA in Management Studies and a BA in Psychology from the University of Bombay.
Professor 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. Professor Miranda has served as Senior Editor and Associate Editor for Information Systems Research and as Associate Editor for MIS Quarterly.