Data Skeptics Graphs and Networks, a podcast exploring how the graph data structure has an impact in science, industry and elsewhere, recently hosted Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute at Northeastern University in London. In the podcast episode “Criminal Networks”.

Justin talks about how network science helps uncover criminal networks and how graph-based models assist law enforcement in analyzing missing data, identifying key figures in criminal organizations, and improving intervention strategies.

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Justin’s talk is based on the preprint “Garbage in Garbage out: Impacts of data quality on criminal network intervention” co-written with Riccardo Di Clemente and Renaud Lambiotte.