106-2012: Community Detection to Identify Fraud Events in Telecommunications Networks
نویسنده
چکیده
Telecommunications’ industry evolves into a high competitive market which demands companies to establish an effective revenue assurance framework. Social network analysis can be used to increase the knowledge about the customers’ behavior, not just in terms of individual usage but mostly in relation to the customers’ connections and how they create communities according to their call and text messages. By performing community detection, telecommunications companies are able to recognize groups of customers which unexpected behavior in terms of usage and also in regard to types of social structures. Outliers groups might be pointed out as suspicious communities in terms of fraud events, delivering a relevant knowledge about possible leakages of money.
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