Event date
Monday, May 8, 2017
Event time
1:00pm to 4:00pm
Barrows 371: D-Lab Breakout Room

In this workshop, we will begin with a dataset scraped from Twitter, which came from the hashtag March4Trump during the rally in Berkeley. Next we will structure our data in Jupyter Notebooks in order to visualize it using social network analysis in Gephi. We will finish by running statistical analysis and discussing implications and questions.
Prior Knowledge: Familiarity with Jupyter Notebooks is helpful, but not required. Basic concepts around network theory will also helpful, but not necessary.
Technology Requirements: The software we will use is Jupyter Notebooks (via Anaconda) & Gephi (www.gephi.org). These are both open source and available for Linux, Macs and PCs.