Link prediction is a fundamental challenge in network science. Among various methods, local similarity indices are widely used for their high cost-performance. However, the performance less robust: some networks highly competitive to state-of-the-art algorithms while other they very poor. Inspired by techniques developed recommender systems, we propose an enhancement framework based on collabor...
