A method, a system and a computer program product for maximizing content spread in a social network are provided. Samples of edges are generated from an initial candidate set of edges. Each edge of the samples of edges has a probability value for content flow. Further, a subset of edges is determined from the samples of edges based on gain corresponding to each edge. Also, each node of the subset of edges is having at least one of less than ‘K’ or equal to ‘K’ incoming edges. Further, the probability of each edge, of the subset of edges, may be incremented. Furthermore, a final set of edges may be determined by ensuring ‘K’ incoming edges. The ‘K’ incoming edges may be ensured by removing one or more incoming edges when a number of the incoming edges for a node of the final set is greater than ‘K’ incoming edge.