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Label-dependent Feature Extraction in Social Networks for Node Classification
Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz
Kajdanowicz T., Kazienko P., Doskocz P.: Label-dependent Feature Extraction in Social Networks for Node Classification. Lecture Notes in Artificial Intelligence LNAI 6430, Springer, 2010, pp. 89-102
arXiv: 1303.0095v1 - DOI (cs.SI)
feature extraction, label-dependent features, classification, social network analysis, AMD social network
License: NONEXCLUSIVE-DISTRIB 1.0
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.
Submitted to arXiv on 01 Mar. 2013