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- W2019911907 abstract "This paper examines the importance of non-topological node attributes for link prediction in social networks. Rank method and supervised learning method were introduced to show the role of the node attributes in link prediction respectively. A rule for choosing the appropriate node attributes was discussed and a method for aggregating two node attributes was proposed. The result of the experiments on a blog dataset showed that using non-topological node attributes make a better performance in link prediction." @default.
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- W2019911907 date "2012-11-01" @default.
- W2019911907 modified "2023-09-23" @default.
- W2019911907 title "Using Non-topological Node Attributes to Improve Results of Link Prediction in Social Networks" @default.
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- W2019911907 doi "https://doi.org/10.1109/wisa.2012.21" @default.
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