I had the great pleasure to give two lectures at the IDE Autumn School 2018 „Digitale Edition – Vertiefung und Nutzung“. The autumn school joins scholars from all areas of the Digital Humanities and aims at broadening their toolsets (see the remarkable syllabus of this year's school).
My task was to talk about network analysis, including graph-theoretic centrality measures and graph visualization in Python. I chose Shakespeare's Hamlet as a toy example, making use of the CSV-files from Roger W. Haworth. The slightly edited CSV-file and the Jupyter Notebooks (handout and solution) are available for download. And so are, of course, the slides (just click on the image below).