Organized crime

A knowledge graph of 4,504 criminal organizations and 10,935 relationships extracted from 1,418 Wikipedia articles across four languages. A GraphRAG AI answers questions about the global organized crime network. Every claim cites a specific Wikipedia source.

I built CRIMENET, an open-source network of 1,890 criminal organizations and 3,354 alliances and rivalries between them, extracted from 771 Wikipedia articles with an LLM pipeline.

Women are underrepresented in corruption networks in Brazil and Spain, but play similar roles to men except at the top. Gender doesn’t affect network resilience, and most differences are explained by their lower presence.

Deep learning methods are used to predict properties of criminal networks.

Interact with realistic simulations of corruption networks