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Generalized Centrality Measures for Multiplex Networks: Combining Node Attributes and Group Dynamics

Procedia Computer Science. 2025. Vol. 266. P. 818–824.
Aleskerov F. T., Semenova A.

Many complex systems are best represented as multilayer or multiplex networks, where nodes are connected through multiple types of links across different layers. This layered structure introduces additional challenges for identifying central elements, as traditional centrality measures typically assume a single-layer network. The paper introduces a new centrality framework for multiplex networks that accounts for both vertex attributes and group-mediated influence, offering a refined approach to identifying critical nodes in multilayer systems. Additionally, we introduce a block concept, combining weights, node parameters, and inter-layer group effects into a unified analytical model. The model is applied to the Florence families dataset.

Research target: Mathematics
Language: English
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DOI
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Keywords: centrality measuresмногослойные сетииндексы центральности в сетяхгрупповое влияние в сетяхgroup influence in multiplex networksmultiplex network centrality measures
Publication based on the results of:
Decision-Making in Socio-Economic, Political and Financial Spheres (2025)
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