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RNA: A Reject Neighbors Algorithm for Influence Maximization in Complex Networks
2020
Mathematics
The influence maximization problem (IMP) in complex networks is to address finding a set of key nodes that play vital roles in the information diffusion process, and when these nodes are employed as "seed nodes", the diffusion effect is maximized. First, this paper presents a refined network centrality measure, a refined shell (RS) index for node ranking, and then proposes an algorithm for identifying key node sets, namely the reject neighbors algorithm (RNA), which consists of two main
doi:10.3390/math8081313
fatcat:t7qxco7bsbacde33j6olkxyn2a