Building Clients Risk Profile Based on Call Detail Records

author: Zala Herga, Artificial Intelligence Laboratory, Jožef Stefan Institute
published: Dec. 8, 2017,   recorded: October 2017,   views: 723


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Data collected from mobile phones can be used to uncover underlying social network dynamics and individual's behavioral patterns. Based on a Call Details Records dataset, we build a weighted, directed network and analyze it's properties. In addition to node-level network measures we extract an extensive consumption and mobility-based feature set. We show that extracted network and consumption features can be used to model individual's risk profile.

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