Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms
- DOI
- 10.1109/tcbb.2020.2978476
- Published
- 2022-01-01
- Container
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcbb.2020.2978476,
title = {Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms},
author = {Fengpan Zhao and Pavel Skums and Alex Zelikovsky and Eric L. Sevigny and Monica Haavisto Swahn and Sheryl M. Strasser and Yan Huang and Yubao Wu},
year = {2022},
journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
doi = {10.1109/tcbb.2020.2978476},
url = {https://doi.org/10.1109/tcbb.2020.2978476}
}RIS
TY - JOUR TI - Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms AU - Fengpan Zhao AU - Pavel Skums AU - Alex Zelikovsky AU - Eric L. Sevigny AU - Monica Haavisto Swahn AU - Sheryl M. Strasser AU - Yan Huang AU - Yubao Wu PY - 2022 JO - IEEE/ACM Transactions on Computational Biology and Bioinformatics DO - 10.1109/tcbb.2020.2978476 UR - https://doi.org/10.1109/tcbb.2020.2978476 ER -
APA
Zhao, F., Skums, P., Zelikovsky, A., Sevigny, E. L., Swahn, M. H., Strasser, S. M., Huang, Y., & Wu, Y. (2022). Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://doi.org/10.1109/tcbb.2020.2978476
Source records
- crossref · retrieved 2026-09-25T07:24:13.014Z