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Label-dependent Feature Extraction in Social Networks for Node Classification · arXivDesk

1303.0095Mar 1, 2013feature extraction, label-dependent features, classification, social network analysis, AMD social network

Label-dependent Feature Extraction in Social Networks for Node Classification

Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz

Social and Information Networks Machine Learning

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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.

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GraduateNovelty 3/5

Researchers working in cs.SI and adjacent areas.

Claims

The paper addresses: Label-dependent Feature Extraction in Social Networks for Node Classification.
A new method of feature extraction in the social network for within-network classification is proposed in the paper.

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Author comment: feature extraction, label-dependent features, classification, social network analysis, AMD social network