Chapter 3. Users, Followers, and Communities on Twitter

This chapter continues the discussion on mining Twitter data. After focusing on the analysis of tweets in the previous chapter, we will now shift our attention to the users, their connections, and their interactions.

In this chapter, we will discuss the following topics:

  • How to download a list of friends and followers for a given user
  • How to analyze connections between users, mutual friends, and so on
  • How to measure influence and engagement on Twitter
  • Clustering algorithms and how to cluster users using scikit-learn
  • Network analysis and how to use it to mine conversations on Twitter
  • How to create dynamic maps to visualize the location of tweets

Users, friends, and followers

One of the main differences ...

Get Mastering Social Media Mining with Python now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.