|Annual Meeting Contributed Papers 2009||START Conference Manager|
The link prediction (LP) approach tries to predict links in an unknown network on the basis of a known network. It is argued that LP evaluation is completely analogous to Information Retrieval evaluation. This characterization entails three generalizations of LP: both appearing and disappearing links can be predicted, LP is not necessarily time-based, and LP is complementary to anomalous link and gap discovery. Multi-input LP tries to increase precision and recall by having more than one known network as input. These concepts are applied to an informetric case study of collaboration at the University of Antwerp and the results are discussed.
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