Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation

2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)(2016)

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摘要
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.)
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关键词
role analysis,transfer learning,social network
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