Core-periphery detection in multilayer networks

Fuente: arXiv
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Autori principali: Bergermann, Kai, Tudisco, Francesco
Natura: Preprint
Pubblicazione: 2024
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author Bergermann, Kai
Tudisco, Francesco
author_facet Bergermann, Kai
Tudisco, Francesco
contents Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers. Core-periphery detection involves partitioning the nodes of a network into core nodes, which are highly connected across the network, and peripheral nodes, which are densely connected to the core but sparsely connected among themselves. In this paper, we propose a new model of core-periphery in multilayer network and a nonlinear spectral method that simultaneously detects the corresponding core and periphery structures of both nodes and layers in weighted and directed multilayer networks. Our method reveals novel structural insights in three empirical multilayer networks from distinct application areas: the citation network of complex network scientists, the European airlines transport network, and the world trade network.
format Preprint
id arxiv_https___arxiv_org_abs_2412_04179
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Core-periphery detection in multilayer networks
Bergermann, Kai
Tudisco, Francesco
Physics and Society
Numerical Analysis
Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers. Core-periphery detection involves partitioning the nodes of a network into core nodes, which are highly connected across the network, and peripheral nodes, which are densely connected to the core but sparsely connected among themselves. In this paper, we propose a new model of core-periphery in multilayer network and a nonlinear spectral method that simultaneously detects the corresponding core and periphery structures of both nodes and layers in weighted and directed multilayer networks. Our method reveals novel structural insights in three empirical multilayer networks from distinct application areas: the citation network of complex network scientists, the European airlines transport network, and the world trade network.
title Core-periphery detection in multilayer networks
topic Physics and Society
Numerical Analysis
url https://arxiv.org/abs/2412.04179