This paper presents a case study regarding a comparative examination of the Louvain and Leiden community detection algorithms.

The case study was conducted on a real-world communication network consisting of 3,222,623 nodes and 27,423,553 edges. In particular, the network in our case study models the communication between Twitter users during the initial four weeks of the 2022 war in Ukraine.

In addition, we also applied dynamic topic modeling in order to examine differences in the detected communities.

K. Sliwa, E. Kusen, M. Strembeck, A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine, Companion Proceedings of the ACM on Web Conference 2024 4 (2024), 1376-1381, DOI: 10.1145/3589335.3651892.