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

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

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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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Additional Information

Publisher Copyright: © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

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Authors
  • Sliwa, Karolina
  • Kusen, Ema
  • Strembeck, Mark
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Shortfacts
Category
 Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
 WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
Divisions
 Security and Privacy
Subjects
 Computersicherheit
Angewandte Informatik
Event Location
 Resorts World Convention Centre located at 8 Sentosa Gateway, Singapore 098269
Event Type
 Conference
Event Dates
 May 13 - 17, 2024
Page Range
 pp. 1376-1381
Date
 13 May 2024
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