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How Network Analysis Can Help Identify Money Laundering Schemes

82 pointsby pyduanabout 10 years ago

4 comments

leereevesabout 10 years ago
Interesting analysis, but better without the names.<p>It&#x27;s dangerous to publicly suggest that people might be laundering money without evidence (even with a disclaimer), especially people with unusual names on a site indexed by search engines.
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peregrineabout 10 years ago
Finding the datasets for these kind of endeavours seems like a full time job. Hats off to them for doing the work and making it happen!
dmichulkeabout 10 years ago
TLDR;<p>Connect all people, addresses and businesses in the business register in a big graph, sort each node by its amount of neighbours and work from there through the list of best connected people.<p>The underlying idea is that money laundering requires a good network (of people, addresses, companies) while staying &quot;under the radar&quot;, so unknown people that are well connected are potential money launderers.
jvilledieuabout 10 years ago
Too bad the analysis can&#x27;t be reproduced. I can find data about the companies (<a href="http:&#x2F;&#x2F;download.companieshouse.gov.uk&#x2F;en_output.html" rel="nofollow">http:&#x2F;&#x2F;download.companieshouse.gov.uk&#x2F;en_output.html</a>) but not the directors.<p>Anyone has had more luck?