What is Link Prediction?
Link prediction is a task in network analysis that aims to predict the likelihood of a connection between two nodes in a graph or network. It is commonly used in social network analysis, recommender systems, and other applications where connections between entities are of interest.
How does Link Prediction work?
Link prediction algorithms typically calculate similarity scores between node pairs based on various network features, such as the number of common neighbors, the Jaccard coefficient, or other graph-based metrics. Higher similarity scores indicate a higher likelihood of a connection between the nodes. Machine learning models can also be trained to predict links based on node features and network structure.
Resources on Link Prediction
To learn more about link prediction and its applications, you can explore the following resources:
Link Prediction, an introduction to the concept and its methods
Link Prediction - An Overview, a comprehensive review of link prediction techniques and their applications
An Introduction to Link Prediction, a collection of articles and tutorials on link prediction in various domains
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