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Supplement: Mining the Twitter API

PLEASE NOTE: This is a supplement to the Mining Social Media course in the Data Society Network Analysis series.

This course is designed for students who have taken Data Society’s Introduction to Network Analysis course and Mining Social Media course. This short supplement teaches students how to pull large quantities of data from Twitter’s free API service, clean it, and merge it.

Course Objectives

  • Identify key influencers and discover important connectors
  • Create a message propagation strategy and simulate it in a model
  • Analyze networks and visualize them in dynamic graphs
Prerequisites: Intro to Network Analysis,
Mining Social Media
Instruction: 30 min
Practice: 2 – 5 hrs

Merav Yuravlivker

Merav Yuravlivker is a nationally ranked instructor and co-founder of Data Society. She used data-driven strategies in the classroom to maximize educational outcomes and has over 10 years of experience in instructional design, training, and teaching. Merav has helped bring new insights to businesses and move their organizations forward through implementing data analytics strategies.

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