The invention relates to an influence maximizing structure based on a multi-selector combination. The influence maximizing structure comprises a multi-selector layer, a multi-combiner layer and an evaluator layer, wherein the multi-selector layer comprises a plurality of selectors, and each selector represents any one known influence maximizing algorithm and is used for incrementally selecting several new nodes as candidate seed nodes according to a strategy and outputting the new nodes through a set; the multi-combiner layer comprises a plurality of combiners, each combiner is connected with multiple selectors so as to combine outputs of the selectors, the output of each combiner includes a node set, and each node represents combined candidate seed nodes; the evaluator layer comprises an evaluator, and the evaluator is used for receiving the candidate seed nodes selected by the multi-combiner layer and determining whether to evaluate the nodes according to the corresponding weights of the nodes. According to the influence maximizing structure, seed nodes selected by the existing multiple selectors are combined, so that the high-quality solution can be obtained regardless of the value of k.