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چکیده
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Fraud is a common problem in the insurance industry that causes heavy losses both in terms of material benefits and public trust. One of the most common violations is organized and opportunistic fraud in car insurance. Intentional accidents, especially in the majority of groups, people getting hurt by vehicles or staging are among the common frauds in this field. The purpose of this paper is to identify large fraud clusters or in other words, professional or organized frauds. In this research, the researchers first introduce a network called the accident network using graph theory. Then suspicious clusters in this network are identified by an algorithm based on graph theory. Then the authors use random processes to label each car’s suspicion of fraud.
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