Link prediction in complex networks via fusing node centrality and local similarity indices

Local similarity indices assign zero scores to node pairs without common neighbors, which limits link prediction in sparse networks; fusing node centrality with local similarity is a common remedy, but existing fusion studies use heterogeneous protocols and the robustness of their gains is unclear.