Digging Deeper: Exploring Extended Common Neighbors in Link Prediction

Link prediction is a prominent area of research in complex network analysis, with applications in various fields including network evolution analysis, recommendation systems, and protein interaction analysis in biological networks. The main objective of link prediction is to estimate missing or hidden links between disconnected nodes in a network. Over the years, numerous algorithms and models have been developed for link prediction, categorized into similarity-based approaches and learning-based approaches.