Signed Link Prediction with Sparse Data: The Role of Personality Information

Published: May 13, 2019
Abstract
Predicting signed links in social networks often faces the problem of signed link data sparsity, i.e., only a small percentage of signed links are given. The problem is exacerbated when the number of negative links is much smaller than that of positive links. Boosting signed link prediction necessitates additional information to compensate for data sparsity. According to psychology theories, one rich source of such information is user’s...
Paper Details
Title
Signed Link Prediction with Sparse Data: The Role of Personality Information
Published Date
May 13, 2019
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