Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation[zur Übersicht]
How can we recognize social roles of users, given a completely novel social network? We present a transfer learning approach based on feature transformation, in order to learn knowledge from networks that we know well, and apply the knowledge to predict user roles in other networks that are new to us. We implement our approach and evaluate it with real networks. Evaluation results show that our approach is suitable for transferring knowledge of user roles from networks to networks. In addition, we show a concrete application of our approach to an enterprise use case, where we predict the user roles in the network of the online platform, ARIS community, within Software AG company.
21.07.16 - 10:15