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Big data analytics have been proposed as a disruptive technology that will reshape security and law enforcement agencies, which is a domain that relies on data analytics to achieve criminal network insights for better decision-making. Rooted in current literature, we review the landscape of criminal network analysis through the big data analytic framework in this paper. We identify the big data sources, big data platforms, tools, and applications related to criminal network analysis. We then present some real-world examples, research challenges, and future research directions of applying big data analytics to the criminal analytics domain.
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Stored only when both papers are in the corpus — 16 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.