2024 | OriginalPaper | Buchkapitel
Influence Robustness of Nodes in Multiplex Networks Against Attacks
verfasst von : Boqian Ma, Hao Ren, Jiaojiao Jiang
Erschienen in: Complex Networks & Their Applications XII
Verlag: Springer Nature Switzerland
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Abstract
MultiCoreRank
, to calculate the global influence of nodes in a multiplex network. The measure models the influence propagation on the core lattice of a multiplex network after the core decomposition. Then, to study how the structural features can affect the influence robustness of nodes, we compare the dynamics of node influence on three types of multiplex networks: assortative, neutral, and disassortative, where the assortativity is measured by the correlation coefficient of the degrees of nodes across different layers. We found that assortative networks have higher resilience against attack than neutral and disassortative networks. The structure of disassortative networks tends to break down quicker under attack.