Detecting cyber security related Twitter accounts and different sub-groups-Reference-Cited by-同舟云学术

Detecting cyber security related Twitter accounts and different sub-groups

Published:2021-11-08 Issue: Volume: Page:
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Container-title:Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Author:

Mahaini Mohamad Imad¹^ORCID,Li Shujun¹^ORCID

Affiliation:

1. University of Kent, Canterbury, UK

Funder

Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation (UKRI), UK

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487351.3492716

Reference20 articles.

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2. K. Jones , J. R. Nurse , and S. Li , " Behind the mask: A computational study of Anonymous' presence on Twitter," in Proceedings of ICWSM 2020 . AAAI , 2020 , pp. 327 -- 338 . [Online]. Available : https://aaai.org/ojs/index.php/ICWSM/article/view/7303 K. Jones, J. R. Nurse, and S. Li, "Behind the mask: A computational study of Anonymous' presence on Twitter," in Proceedings of ICWSM 2020. AAAI, 2020, pp. 327-- 338. [Online]. Available: https://aaai.org/ojs/index.php/ICWSM/article/view/7303

3. The World of Defacers: Looking Through the Lens of Their Activities on Twitter

4. Automatic Detection of Cyber Security Related Accounts on Online Social Networks

5. A machine learning approach to Twitter user classification;Pennacchiotti M.;Proceedings of ICWSM,2011

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