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SIAM Lecture: Using Social Influence to Predict Subscriber Churn, Dr. Veena Mendiratta

SIAM Lecture: Using Social Influence to Predict Subscriber Churn, Dr. Veena Mendiratta

Monday, September 30, 2013 5:20 PM - 6:20 PM
STRGT 226-229

The saturation of mobile phone markets has resulted in rising costs for operators to obtain new customers. These operators thus focus their energies on identifying users that will churn so they can be targeted for retention campaigns. Typical churn prediction algorithms identify churners based on service usage metrics, network performance indicators, and demographic information. Social and peer-influence to churn, however, is usually not considered. In this talk, a new churn prediction algorithm is described that incorporates the influence churners spread to their social peers. Using data from a major service provider it is shown that social influence improves churn prediction and is among the most important factors.

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