Yesterday, I attended PyCon Finland as a speaker. Kiran and I gave a talk on using networkx to visualize interactions on Twitter. The talk was aimed at beginner / intermediate-level programmers and we described, essentially, how we produced the plots that appear in our work¹ on polarization on social media.
The Jupyter notebook for our slides is here.
Update: The video of our talk is posted on YouTube.
In a parallel session, Clemens also presented coding material from his masters thesis on text classification.
¹Garimella K, De Francisci Morales G, Gionis A, Mathioudakis M., Quantifying controversy in social media. InProceedings of the Ninth ACM International Conference on Web Search and Data Mining 2016 Feb 8 (pp. 33-42). ACM.
michael mathioudakis 