A Computational Design Framework for Targeted Disruption of Hacker Communities
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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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