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arXiv · 1303.0095

Label-dependent Feature Extraction in Social Networks for Node Classification

Tomasz Kajdanowicz·Przemyslaw Kazienko·Piotr Doskocz
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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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Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz. 2013-03-01. Label-dependent Feature Extraction in Social Networks for Node Classification. https://doi.org/10.1007/978-3-642-16567-2_7

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