A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine

Karolina Malgorzata Sliwa; Ema Kušen; Mark Strembeck

doi:10.1145/3589335.3651892

A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine

Karolina Malgorzata Sliwa, Ema Kušen, Mark Strembeck

Institute for Complex Networks

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

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.

Original language	English
Title of host publication	WWW '24: Companion Proceedings of the ACM on Web Conference 2024
Subtitle of host publication	May 13 - 17, 2024, Singapore
Place of Publication	New York
Publisher	ACM Press
Pages	1376–1381
ISBN (Print)	979-8-4007-0172-6
DOIs	https://doi.org/10.1145/3589335.3651892
Publication status	Published - 13 May 2024

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Cite this

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title = "A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine",

abstract = "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.",

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A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine. / Sliwa, Karolina Malgorzata ; Kušen, Ema ; Strembeck, Mark.
WWW '24: Companion Proceedings of the ACM on Web Conference 2024: May 13 - 17, 2024, Singapore. New York: ACM Press, 2024. p. 1376–1381.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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