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V5I1206 - Financial Intelligence Units (FIUs)
V5I0806 - Money Laundering: The Exception
V5I0406 - Network Monitoring
V5I0106 - Filing Compliance
V4I0405 - Terrorism Financing
V4I0305 - Telephone Toll Analysis
V4I0205 - Wire Transfers for Alien Smuggling
V4I0105 - Bust-out Schemes
V3I1204 - Structuring Financial Transactions
V3I1104 - Finished Intelligence (Proactive Analysis)
V3I1004 - Exposing Mortgage Fraud
V3I0904 - MIND Lab Integrates Course Data
V3I0804 - Suspicious SAR-MSB Filing Data
V3I0704 - Integrating Multiple Data Sources
V3I0604 - Analyzing Airline Profitability
V3I0504 - Corporate Fraud
V3I0404 - Employee Master File Analysis
V3I0304 - Prescription Fraud Patterns
V3I0204 - Social Network Analysis (SNA)
V3I0104 - Fraud Detection System (FDS)
V2I1203 - Integration with our Digital Information Gateway
V2I1103 - Financial Transactions Investigation
V2I1003 - Compliance Analysis
V2I0903 - Medical Insurance Claims Analysis
V2I0803 - Corporate Fraud Investigation
V2I0703 - Possible Domestic Terrorist Shooting
V2I0603 - Suspicious Activity Report (SAR) Filing
V2I0503 - Detecting Financial Crimes
V2I0403 - "Referential" Data Sources
V2I0303 - Proactive Analyses
V2I0203 - Transactional Activities
V2I0103 - Temporal Grid

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Referenced in our Newsletter Volume 2, Issue 3 - March 2003

Proactive Analyses
The following network was uncovered while performing proactive analyses on financial data using the Network Miner service. The span of this network is fairly extensive and has a number of interesting features.



The SUBJECT shown at the bottom of this network is connected to five unique SSNs (Social Security Numbers). The thickness of the link indicates the frequency of the connections; thicker lines indicate more links, thinner lines indicate fewer links. In this cluster, three of the five SSNs are heavily connected to the SUBJECT. This type of behavior could indicate that the SUBJECT intends to misrepresent his identity.

Although not displayed in this diagram (use of the Data Details mouse mode shows the object attributes), characters in the SSNs were transposed in a manner that could not result from data entry transpositions: sequences of two and three digits were switched. The combination of the transaction frequency and the character-group transpositions can only be interpreted as purposeful misrepresentation.

The SSN near the top of the diagram, connected to four SUBJECTS, reveals another scenario. In this case, the SSN is considered to be "valid" because it passes all of the basic validity tests, including the SSN Validation and Death Master Index Check. However, this number was used heavily for fixed time periods by different people. Again, the thicker lines indicate there is a heavier utilization by certain individuals.

Overall, the entire network of SUBJECTs and SSNs shown exposes a highly unusual set of connections. Because this network exposed such a suspicious set of actors, a large scale investigation ensued using this small network as the starting point.



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