A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine.
Karolina Sliwa|Ema Kusen|Mark Strembeck
| Anthology ID: | DBLP:conf/www/SliwaKS24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1376-1381 |
| URL: | https://doi.org/10.1145/3589335.3651892 |
| DOI: | https://doi.org/10.1145/3589335.3651892 |
| DBLP: | conf/www/SliwaKS24 |
| BibTeX: |
@inproceedings{sliwa-2024-case,
author = {Karolina Sliwa and
Ema Kusen and
Mark Strembeck},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1376--1381},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651892},
doi = {https://doi.org/10.1145/3589335.3651892}
}