Immediate detection of fraud rings

Fraud detection is a typical usecase that requires graphs. It’s all about relationships between identifiers, and about quickly detecting that they are being shared. Shapes and sizes of fraud rings can vary considerably. Neo4j’s Cypher language facilitates the creation of pattern recognition capabilities to help detect fraud rings as they emerge, and when combined with our InterActor, provide a vizualisation of the fraud ring itself. At the same time suspected fraudulent identities and victims are spotted.

For this demo, 400 valid identities are created, each identity has a name, an address, a social security number (ssn) and a phonenumber. In addition, 64 fake identities are created based on the cartesian product of a set of 4 randomly chosen addresses,ssn and phone numbers from the valid identities. So, in total we have 464 identities.

As long as these identities don’t have opened accounts in their names, it’s not possible to see which identities are fraudulent and which are not. Even when there is just a single fraudulent identity that opens an account, it’s difficult. But when we detect that account-holders start to share addresses, ssn and phone, the pattern emerges rapidly. In this demo, we create individual random accounts, and once we suspect fraud, the InterActor application identifies identities that may be fraudulent, as well as identities that may be victims. The latter are those that share only one of their valid identifiers  (ssn, address or phone) with other account-holders. Note in the video that an identity that is initially identified as a victim, later on appears to be member of the fraud ring.


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Full-text search with Neo4j and Graphileon

With the release of Neo4j version 3.5, full-text search was made available. This feature allows for searching through the contents of indexed string properties of nodes and relationships. To illustrate how to use this feature inside a Graphileon application, we’ve built a demo application in a Neo4j + Graphileon installation. This demo also shows some … Continued

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Graph-based Planning, Monitoring and Reporting on project deliverables in the Kingdom of Jordan

In the context of the EU-funded M&ETAJo2025 project, Graphileon designs and implements a flexible Management Information System that allows the government of the Kingdom of Jordan to closely monitor the delivery of projects that contribute to the country's socio-economic development.

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CRUDding edges and vertices in DataStax Enterprise Graph 6.7

Adding support for DataStax Enterprise Graph in less than a month! Less than a month ago we announced the support for DataStax Enterprise (DSE) Graph. Today we can show you a sneak preview of how to manage DSE Graph content using the standard Graphileon NodeFormView and RelationFormView functions. Next on our roadmap is to integrate … Continued

Get started with the Personal Edition

The easiest way to get to know Graphileon is by using the Personal Edition. Build graphy applications and browse your graph stores in a way you never did before.