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Preface; README.1st; Managing Your Expectations; Python-Centric Technology; Improvements Specific to the Second Edition; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments for the Second Edition; Acknowledgments from the First Edition;A Guided Tour of the Social Web; Prelude;
Chapter 1: Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More;
1.1 Overview;
1.2 Why Is Twitter All the Rage?;
1.3 Exploring Twitter''s API;
1.4 Analyzing the 140 Characters;
1.5 Closing Remarks;
1.6 Recommended Exercises;
1.7 Online Resources;
Chapter 2: Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More;
2.1 Overview;
2.2 Exploring Facebook''s Social Graph API;
2.3 Analyzing Social Graph Connections;
2.4 Closing Remarks;
2.5 Recommended Exercises;
2.6 Online Resources;
Chapter 3: Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More;
3.1 Overview;
3.2 Exploring the LinkedIn API;
3.3 Crash Course on Clustering Data;
3.4 Closing Remarks;
3.5 Recommended Exercises;
3.6 Online Resources;
Chapter 4: Mining Google+: Computing Document Similarity, Extracting Collocations, and More;
4.1 Overview;
4.2 Exploring the Google+ API;
4.3 A Whiz-Bang Introduction to TF-IDF;
4.4 Querying Human Language Data with TF-IDF;
4.5 Closing Remarks;
4.6 Recommended Exercises;
4.7 Online Resources;
Chapter 5: Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More;
5.1 Overview;
5.2 Scraping, Parsing, and Crawling the Web;
5.3 Discovering Semantics by Decoding Syntax;
5.4 Entity-Centric Analysis: A Paradigm Shift;
5.5 Quality of Analytics for Processing Human Language Data;
5.6 Closing Remarks;
5.7 Recommended Exercises;
5.8 Online Resources;
Chapter 6: Mining Mailboxes: Analyzing Who''s Talking to Whom About What, How Often, and More;
6.1 Overview;
6.2 Obtaining and Processing a Mail Corpus;
6.3 Analyzing the Enron Corpus;
6.4 Discovering and Visualizing Time-Series Trends;
6.5 Analyzing Your Own Mail Data;
6.6 Closing Remarks;
6.7 Recommended Exercises;
6.8 Online Resources;
Chapter 7: Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More;
7.1 Overview;
7.2 Exploring GitHub''s API;
7.3 Modeling Data with Property Graphs;
7.4 Analyzing GitHub Interest Graphs;
7.5 Closing Remarks;
7.6 Recommended Exercises;
7.7 Online Resources;
Chapter 8: Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More;
8.1 Overview;
8.2 Microformats: Easy-to-Implement Metadata;
8.3 From Semantic Markup to Semantic Web: A Brief Interlude;
8.4 The Semantic Web: An Evolutionary Revolution;
8.5 Closing Remarks;
8.6 Recommended Exercises;
8.7 Online Resources;Twitter Cookbook;
Chapter 9: Twitter Cookbook;
9.1 Accessing Twitter''s API for Development Purposes;
9.2 Doing the OAuth Dance to Access Twitter''s API for Production Purposes;
9.3 Discovering the Trending Topics;
9.4 Searching for Tweets;
9.5 Constructing Convenient Function Calls;
9.6 Saving and Restoring JSON Data with Text Files;
9.7 Saving and Accessing JSON Data with MongoDB;
9.8 Sampling the Twitter Firehose with the Streaming API;
9.9 Collecting Time-Series Data;
9.10 Extracting Tweet Entities;
9.11 Finding the Most Popular Tweets in a Collection of Tweets;
9.12 Finding the Most Popular Tweet Entities in a Collection of Tweets;
9.13 Tabulating Frequency Analysis;
9.14 Finding Users Who Have Retweeted a Status;
9.15 Extracting a Retweet''s Attribution;
9.16 Making Robust Twitter Requests;
9.17 Resolving User Profile Information;
9.18 Extracting Tweet Entities from Arbitrary Text;
9.19 Getting All Friends or Followers for a User;
9.20 Analyzing a User''s Friends and Followers;
9.21 Harvesting a User''s Tweets;
9.22 Crawling a Friendship Graph;
9.23 Analyzing Tweet Content;
9.24 Summarizing Link Targets;
9.25 Analyzing a User''s Favorite Tweets;
9.26 Closing Remarks;
9.27 Recommended Exercises;
9.28 Online Resources;Appendixes; Information About This Book''s Virtual Machine Experience; OAuth Primer; Overview; Python and IPython Notebook Tips & Tricks;Colophon;