SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.
Xiaoqing Zhang|Yuhan Liu|Jianzhou Wang|Zhenxing Hu|Xiuying Chen|Rui Yan
| Anthology ID: | DBLP:conf/sigir/ZhangLWHCY25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3733-3742 |
| URL: | https://doi.org/10.1145/3726302.3730334 |
| DOI: | https://doi.org/10.1145/3726302.3730334 |
| DBLP: | conf/sigir/ZhangLWHCY25 |
| BibTeX: |
@inproceedings{zhang-2025-sagraph,
author = {Xiaoqing Zhang and
Yuhan Liu and
Jianzhou Wang and
Zhenxing Hu and
Xiuying Chen and
Rui Yan},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3733--3742},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730334},
doi = {https://doi.org/10.1145/3726302.3730334}
}