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Moreover, a set of the candidate nodes are created, and most of the periphery nodes are removed during a pruning approach to reduce the computational overhead. Therefore, the seed nodes are selected from the candidate nodes set using the role of the bridge nodes. Experimental results in both synthetic and real data sets showed that the proposed SRFM algorithm has more acceptable efficiency in the influence spread and runtime than other algorithms.Glaesserella parasuis causes porcine Glässer's disease and lipopolysaccharide (LPS) induce
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