Editorial note: Simon Krahé is finishing his undergraduate studies in English and American Studies, History and Computer Science at the University of Wuppertal. He will use network analysis methods in his bachelor’s thesis. His research interests include digital humanities and digital history practices, especially the use of Natural Language Processing (NLP) methods on large corpora of cultural heritage data.

Network analysis can be a valuable tool for digital history research: it can lead to new insights into social structures of historical actors and organizations and can also track developments with a diachronic approach, i.e. comparing data at different points in time. In the past months, I have been doing network analysis as part of a larger project at the GHI in Washington, DC, by Prof. Dr.

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