Improving attribute prediction through Network-Augmented Attribute Prediction
نویسندگان
چکیده
We propose a method for predicting individuals’ attributes based on partially observed social network data. The Network-Augmented Attribute Prediction (NAAP) procedure uses observed individuals’ nodal and network attributes to infer unobserved network connections and then uses these predicted network connections to predict unobserved characteristics of individuals. We demonstrate that inclusion of such inferred network attributes can increase the accuracy of predictive modeling using data from a household survey of villages in Karnataka, a state in southwestern India.
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تاریخ انتشار 2013