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

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

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.
OriginalspracheEnglisch
Titel des SammelwerksWWW '24: Companion Proceedings of the ACM on Web Conference 2024
Untertitel des SammelwerksMay 13 - 17, 2024, Singapore
ErscheinungsortNew York
VerlagACM Press
Seiten 1376–1381
ISBN (Print)979-8-4007-0172-6
DOIs
PublikationsstatusVeröffentlicht - 13 Mai 2024

Zitat