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Topical Shifts in the Dark Web

An arXiv paper presenting a longitudinal analysis of the dark web cybercrime ecosystem. The authors analyze 25,065 websites using 11,403,638 HTML snapshots collected over six years, applying a topic-modeling framework with domain-specific embeddings, density-based clustering and temporal aggregation. The analysis identifies 55 thematic clusters and measures topic prevalence and lifecycle at the website level.

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0 shouts Added Sep 23, 2026 arxiv.org
arxiv.org/abs/2605.15345
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  • longitudinal topic-modeling framework combining domain-specific embeddings, density-based clustering and temporal aggregation Source: arxiv.org
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