Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation
Social and Information Networks
2017-03-23 v1 Machine Learning
Abstract
How can we recognise social roles of people, given a completely unlabelled social network? We present a transfer learning approach to network role classification based on feature transformations from each network's local feature distribution to a global feature space. Experiments are carried out on real-world datasets. (See manuscript for the full abstract.)
Cite
@article{arxiv.1611.02941,
title = {Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation},
author = {Jun Sun and Jérôme Kunegis and Steffen Staab},
journal= {arXiv preprint arXiv:1611.02941},
year = {2017}
}
Comments
8 pages, 5 figures, IEEE ICDMW 2016