Implementing social network analysis for fraud prevention
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چکیده
Fraud detection and analysis has traditionally involved a silo approach. Rarely does an investigator look across product lines to identify fraudulent connections. However, with the introduction of social network analysis (SNA), investigators are now able to detect data patterns within and across product lines as a potential crime ring or group is developing, saving companies from losses as the crime ring further develops. This paper introduces key ideas and concepts related to SNA, suggests an SNA approach for fraud prevention, provide a case study, and describes some of the limitations of SNA.
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