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Tag Publications: graph database

CAC 40 : visualizing the French boardroom network

They say it is lonely at the top. For the 450 board directors leading the biggest companies in France that is certainly not true. They form a small network in which a few key individual wield a big influence. The network behind the boardrooms Even a CEO has to answer to someone. For the CEO […]

Using graphs to uncover insider trading schemes

When there is power and money at stakes, individuals will resort to cheating to beat the competition. Professional sports have doping and financial markets have insider trading. To understand the role data analysis play in fraud investigation, look no further than the case of former SAC Manager Mathew Martoma convicted in what may be the […]

Brute force attacks and graphs

Brute force is a basic hacking method and yet it is effective and hard to spot. What if graphs could help identify brute force attacks? What is a brute force attack? In a brute force attack, a hacker will access a system by trying a list of passwords until he finds one that works. It […]

Reshipping scams and network visualization

Drug lords are not the only persons using mules to launder money. Ecommerce operations are confronted to “reshipping scams”. In these scams, mules are used by online fraudsters to turn their credit cards into actual goods. Graphs can help detect this fraud. When a job ad turns you into a money laundering mule We have […]

Whiplash for cash : using graphs for fraud detection

Car insurance companies are facing a popular scam called whiplash for cash. It involves fake car accidents and real money. The criminals behind these schemes are well organized. Drivers, passengers, cars : from one accident to another, there is always an element of change. It is a real challenge to identify these criminals and graphs […]

How graphs can power drug prescription

Doctors and health care providers are tasked with a very difficult task. They have to choose from an ever increasing supply of drugs which to administer their patients. Choosing the right drug involve checking for potential negative interactions between the drug (or drugs) and the patient traits. That process can be optimized with the help […]