Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:
- Use OAuth to access Twitter data
- Create and analyze graphs of retweet relationships
- Use the streaming API to harvest tweets in realtime
- Harvest and analyze friends and followers
- Discover friendship cliques
- Summarize webpages from short URLs
This book is a perfect companion to O’Reilly'sMining the Social Web.
Preface;Introduction;Conventions Used in This Book;Using Code Examples;Safari? Books Online;How to Contact Us;Chapter 1: The Recipes;1.1 Using OAuth to Access Twitter APIs;1.2 Looking Up the Trending Topics;1.3 Extracting Tweet Entities;1.4 Searching for Tweets;1.5 Extracting a Retweets Origins;1.6 Creating a Graph of Retweet Relationships;1.7 Visualizing a Graph of Retweet Relationships;1.8 Capturing Tweets in Real-time with the Streaming API;1.9 Making Robust Twitter Requests;1.10 Harvesting Tweets;1.11 Creating a Tag Cloud from Tweet Entities;1.12 Summarizing Link Targets;1.13 Harvesting Friends and Followers;1.14 Performing Setwise Operations on Friendship Data;1.15 Resolving User Profile Information;1.16 Crawling Followers to Approximate Potential Influence;1.17 Analyzing Friendship Relationships such as Friends of Friends;1.18 Analyzing Friendship Cliques;1.19 Analyzing the Authors of Tweets that Appear in Search Results;1.20 Visualizing Geodata with a Dorling Cartogram;1.21 Geocoding Locations from Profiles (or Elsewhere);
Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (
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