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- W3040953670 abstract "Link prediction has mainly been addressed as an accuracy-targeting problem in social network analysis. We discuss different perspectives on the problem considering other dimensions and effects that the link prediction methods may have on the network where they are applied. Specifically, we consider the structural effects the methods can have if the predicted links are added to the network. We consider further utility dimensions beyond prediction accuracy, namely novelty and diversity. We adapt specific metrics from social network analysis, recommender systems and information retrieval, and we empirically observe the effect of a set of link prediction algorithms over Twitter data." @default.
- W3040953670 created "2020-07-16" @default.
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- W3040953670 date "2020-01-01" @default.
- W3040953670 modified "2023-10-16" @default.
- W3040953670 title "Beyond Accuracy in Link Prediction" @default.
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- W3040953670 doi "https://doi.org/10.1007/978-3-030-52485-2_9" @default.
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