Label-dependent Feature Extraction in Social Networks for Node Classification
Social and Information Networks
2013-03-04 v1 Machine Learning
Abstract
A new method of feature extraction in the social network for within-network classification is proposed in the paper. The method provides new features calculated by combination of both: network structure information and class labels assigned to nodes. The influence of various features on classification performance has also been studied. The experiments on real-world data have shown that features created owing to the proposed method can lead to significant improvement of classification accuracy.
Cite
@article{arxiv.1303.0095,
title = {Label-dependent Feature Extraction in Social Networks for Node Classification},
author = {Tomasz Kajdanowicz and Przemyslaw Kazienko and Piotr Doskocz},
journal= {arXiv preprint arXiv:1303.0095},
year = {2013}
}
Comments
feature extraction, label-dependent features, classification, social network analysis, AMD social network