My rudimentary experiments with linked news items go on. I did some very naive k-means clustering to understand how topics are linked with each other. This cluster here is only composed by articles discussing the FDP "D-Day", with this article being the center of the whole network: https://www.zeit.de/politik/deutschland/2024-11/christian-lindner-ampel-aus-fdp-bundesregierung
FDP: Das liberale Drehbuch für den Regierungssturz

Geheime Sitzungen, Präsentationen, Strategiepapiere: Recherchen der ZEIT zeigen, wie die FDP den Bruch der Ampel wochenlang vorbereitete. Der Name der Operation: "D-Day"

ZEIT ONLINE
Here we have a small cluster about Syria
On its own a small VW cluster. It seems like the topic is not so much connected with the overall political discussion.
This is by no means a very clean or thorough analysis. I still need to clean the data to remove internal links that do not point to articles and I will definetly work out a better clustering strategy. But it's a somewhat interesting entry for my research diary :)
@framoriniii how do you generate these images?
@alex27 the images are generated and rendered in the browser using JavaScript (D3.js, to be specific)