Aspects of the present disclosure include a method, which can include for data represented as a bipartite network and for a set of missing links in the bipartite network, calculating a weight for each of the missing links in the set based on bicliques of the bipartite network; executing a link prediction algorithm configured to incorporate the weight for each of the missing links; and providing ones from the set of missing links selected by the link prediction algorithm as predicted missing links of the bipartite network.

Aspects of the present disclosure can further include a non-transitory computer readable medium, storing instructions for executing a process, the instructions involving, for data represented as a bipartite network and for a set of missing links in the bipartite network, calculating a weight for each of the missing links in the set based on bicliques of the bipartite network; executing a link prediction algorithm configured to incorporate the weight for each of the missing links; and providing ones from the set of missing links selected by the link prediction algorithm as predicted missing links of the bipartite network.

Aspects of the present disclosure include a system, which can include for data represented as a bipartite network and for a set of missing links in the bipartite network, means for calculating a weight for each of the missing links in the set based on bicliques of the bipartite network; means for executing a link prediction algorithm configured to incorporate the weight for each of the missing links; and means for providing ones from the set of missing links selected by the link prediction algorithm as predicted missing links of the bipartite network.