Mining the Social Web

★ 3.9 avg 1 votes

About this book

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 dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followersDiscover friendship cliquesSummarize webpages from short URLsThis book is a perfect companion to O’Reilly's Mining the Social Web.

3.9 ★★★★☆ average of 4 sources · 1 votes
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Reader Profile

Enjoyment78Difficulty60Influence0Popularity23Classic15

3.9/5 · 1 readers · 440 pages · ≈ 8 h 09 m · Moderate

How long does it take to read Mining the Social Web?

About ≈ 8 h 09 m — 440 pages, assuming roughly 250 words per page at 225 words per minute.Typical novel≈ 5 h 56 mMining the Social Web~8 h 09 m

How many pages is Mining the Social Web?

440 pages in its most-read edition.Typical novel320Mining the Social Web440

Is Mining the Social Web in the public domain?

No — it is still under copyright.

Who wrote Mining the Social Web?

Matthew A. Russell.