A Computational Design Framework for Targeted Disruption of Hacker Communities

Benjamin M. Ampel
Last updated on Oct 29, 2026
DOI
In Plain Terms

This paper presents HackerVote, a method for figuring out which members of an online hacker forum to remove in order to most disrupt how information and tools spread through the community. Using network-science measures of who is most central, it identifies the highest-impact targets more effectively than existing approaches. A case study simulating takedowns on a real long-running forum shows how law enforcement could use it to plan more effective crackdowns.

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APA Ampel, B. M. (2025). A Computational Design Framework for Targeted Disruption of Hacker Communities. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10645-8
BibTeX
@article{ampel2025a,
  title={A Computational Design Framework for Targeted Disruption of Hacker Communities},
  author={Benjamin M. Ampel},
  journal={Information Systems Frontiers},
  year={2025},
  doi={10.1007/s10796-025-10645-8}
}
Hacker Communities Computational Design Science Cyber Threat Intelligence Cybersecurity