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Link Prediction in Complex Networks: A Mutual Information Perspective
2014
PLoS ONE
Topological properties of networks are widely applied to study the link-prediction problem recently. Common Neighbors, for example, is a natural yet efficient framework. Many variants of Common Neighbors have been thus proposed to further boost the discriminative resolution of candidate links. In this paper, we reexamine the role of network topology in predicting missing links from the perspective of information theory, and present a practical approach based on the mutual information of network
doi:10.1371/journal.pone.0107056
pmid:25207920
pmcid:PMC4160214
fatcat:jhiz5ahat5d7tnxk546frqdupq