Mining Data from Social Media
Date and Time: Wednesday, June 26 (1-5 pm)
Room: Oak
Description
This interactive workshop will cover the crucial steps in conducting research on social media data: collection of the data using API calls and python scripts, network inference, network analysis, and text mining. While special attention will be given to the Twitter platform, other prominent platforms such as Google+ and Facebook will be covered. Throughout the workshop, participants will be encouraged to experiment with and run scripts provided by the instructor that will cover a range of tasks including tweet collection, retweet network inference, and sentiment analysis. While no programming skill is assumed or required, participants will benefit from some familiarity with scripting and, in particular, Python.
Instructor
Derek Ruths is an Assistant Professor of Computer Science at McGill University. In his research he develops new tools and techniques for mining and measuring large-scale human behavior in online environments. Much of his work to date has focused on human behavior on Twitter. In the past, he has run a variety of tutorials on large-scale data analysis with emphasis on applications to social science, network analysis, and introductory programming skills.
Teaching Assistants: Levi King (Indiana University) and Alex Rudnick (Indiana University).
Required equipment/software
- Laptop
- Internet connection
- Python
- Twitter account