Mining the Social Web (2014)

Preface

Part I. A Guided Tour of the Social Web

Chapter 1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More

Chapter 2. Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More

Chapter 3. Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More

Chapter 4. Mining Google+: Computing Document Similarity, Extracting Collocations, and More

Chapter 5. Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More

Chapter 6. Mining Mailboxes: Analyzing Who’s Talking to Whom About What, How Often, and More

Chapter 7. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More

Chapter 8. Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More

Part II. Twitter Cookbook

Chapter 9. Twitter Cookbook

Part III. Appendixes

Appendix A. Information About This Book's Virtual Machine Experience

Appendix B. OAuth Primer

Appendix C. Python and IPython Notebook Tips & Tricks