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Description
Facebook, Twitter, LinkedIn, Google+, and other social web properties generate a wealth of valuable social data, but how can you tap into this data and discover who's connecting with whom, which insights are lurking just beneath the surface, and what people are talking about?This book shows you how to answer these questions and many more. Each chapter combines popular and useful social web data with analysis techniques and visualization to help you find the needles in the social haystack that you've been looking for - as well as many you probably didn't even know existed.
Content:-
Preface
Part I. A Guided Tour of the Social Web
Prelude
1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More
2. Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More
3. Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More
4. Mining Google+: Computing Document Similarity, Extracting Collocations, and More
5. Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More
6. Mining Mailboxes: Analyzing Who’s Talking to Whom About What, How Often, and More
7. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More
8. Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More
Part II. Twitter Cookbook
9. Twitter Cookbook
Part III. Appendixes
A. Information About This Book’s Virtual Machine Experience
B. OAuth Primer
C. Python and IPython Notebook Tips & Tricks
Index
Author Details
"Matthew A. Russell"
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