A new edge weight-based measure for k-shell influential node identification in complex networks
by Yang Xiong; Yang Cheng
International Journal of Security and Networks (IJSN), Vol. 19, No. 1, 2024

Abstract: There are mainly two problems with traditional k-shell centrality in complex networks. First, the traditional k-shell centrality divides many nodes into the same shell layer, which cannot accurately distinguish the propagation ability of nodes. Secondly, the network's local attributes and global perspective cannot be effectively combined into the k-shell centrality, and most of the methods ignore the role of edge weight. Because of these problems, a new edge weight is introduced based on traditional k-shell centrality. The edge weight between any two nodes is defined from the local degree centrality and the global k-shell centrality. From the dynamics of information propagation, a new edge weight-based measure for k-shell centrality is put forward. The simulation results indicate that this improved centrality based on edge weight is good at ranking the key nodes in a complex network, and the influential spreaders identified by this method can obtain better performance in the susceptible-infected (SI) model and susceptible-infected-recovered (SIR) model of infectious diseases.

Online publication date: Tue, 12-Mar-2024

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