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= Money Laundering with graphs | |
== The setup | |
Let's set up some data in the Money Laundering industry. | |
//setup | |
//hide | |
[source,cypher] | |
---- | |
CREATE (_1:ATM { name:"ATM1" }),(_2:ATM { name:"ATM2" }) | |
CREATE (_3:Person { name:"Crook nr 1" }),(_4 { name:"Crook nr 2" }) | |
CREATE (_5 { name:"Crook nr 3" }),(_6 { name:"NormalPerson" }) | |
CREATE (_7 { name:"Restaurant" }),(_8 { name:"Bank" }) | |
CREATE _3-[:spendsmoneyon { money:800 }]->_1, _3-[:spendsmoneyon { money:1200 }]->_2 | |
CREATE _4-[:wiresmoney { money:23000 }]->_3, _5-[:wiresmoney { money:12000 }]->_7 | |
CREATE _6-[:spendsmoneyon { money:43 }]->_1, _6-[:spendsmoneyon { money:43 }]->_2 | |
CREATE _7-[:spendsmoneyon { money:45000 }]->_2, _8-[:withdrawsmoney { money:23000 }]->_4 | |
CREATE _8-[:withdrawsmoney { money:12000 }]->_5 | |
---- | |
//graph | |
=== Let's find a crook! === | |
//output | |
[source,cypher] | |
---- | |
MATCH p = shortestPath((crook:Person)-[*..3]-(atm:ATM)) | |
WHERE crook.name = 'Crook nr 1' | |
RETURN p, atm.name | |
---- | |
//table | |
== try it yourself! | |
//console |
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