Social Network Extraction and High Value Individual (HVI) Identification within Fused Intelligence Data

Farasat, Alireza; Gross, Geoff A.; Nagi, Rakesh; Nikolaev, Alexander G.

doi:10.1007/978-3-319-16268-3_5

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Cited by 5 publications

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“…Money laundering networks are inherently different to other criminal networks, in that they may have many members who are important to a suspect but the nature of the crime dictates that these members are hidden or inactive (not possessing a high centrality value). Research, for example [18] and [29], shows that the node with highest betweenness centrality could also have the highest closeness as well as highest degree centrality. Both of these latter attributes point to nodes that are highly visible.…”

Section: Introductionmentioning

confidence: 99%