Link prediction is a task in network analysis that aims to forecast the likelihood of a connection forming between two entities in a graph. This is commonly applied in social networks, where it can suggest potential friendships or collaborations based on existing relationships and shared characteristics. The process typically involves analyzing patterns and features within the graph, such as the number of common neighbors or the strength of existing connections. Techniques like machine learning and statistical methods are often employed to improve the accuracy of predictions, making link prediction a valuable tool in fields like social media, biological networks, and recommendation systems.