Link Prediction
Link Prediction is a subfield of network science and machine learning that deals with predicting the likelihood of a connection or link between two nodes in a network. In other words, it is the task of inferring missing or future links in a network based on the observed links and the properties of the nodes. Link prediction has applications in various domains such as social network analysis, recommender systems, and biological networks. The most common approaches for link prediction are based on similarity measures, graph-based methods, and machine learning algorithms such as logistic regression, random forest, and neural networks.
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