MATLAB Experiment for Link Prediction
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Resource Overview
Detailed Documentation
This repository provides MATLAB source code for link prediction experiments. The code enables comprehensive analysis of link prediction performance through customizable parameter configurations. The implementation includes core algorithms such as Common Neighbors, Adamic-Adar Index, and Resource Allocation methods, allowing users to evaluate prediction accuracy and computational efficiency by modifying adjacency matrices and threshold parameters. Researchers can extend these code templates to design additional experiments investigating application scenarios, limitations, and optimization techniques for prediction results. The well-commented code serves as an educational reference for understanding fundamental principles of link prediction algorithms, featuring modular functions for matrix operations, similarity calculations, and performance metrics evaluation including AUC and precision-recall analysis.
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