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An Eigenvector Centrality for Multiplex Networks with Data

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An Eigenvector Centrality for Multiplex Networks with Data

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Pedroche Sánchez, F.; Tortosa, L.; Vicent Francés, J. (2019). An Eigenvector Centrality for Multiplex Networks with Data. Symmetry (Basel). 11(6):1-24. https://doi.org/10.3390/sym11060763

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/140415

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Title: An Eigenvector Centrality for Multiplex Networks with Data
Author: Pedroche Sánchez, Francisco Tortosa, Leandro Vicent Francés, J.F.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] Networks are useful to describe the structure of many complex systems. Often, understanding these systems implies the analysis of multiple interconnected networks simultaneously, since the system may be modelled by ...[+]
Subjects: Eigenvector centrality , Networks centrality , Two-layer approach PageRank , Multiplex networks , Biplex networks
Copyrigths: Reconocimiento (by)
Source:
Symmetry (Basel). (eissn: 2073-8994 )
DOI: 10.3390/sym11060763
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/sym11060763
Project ID:
MICINN/TIN2017-84821-P
Thanks:
This research is partially supported by the Spanish Government, Ministerio de Economia y Competividad, grant number TIN2017-84821-P.
Type: Artículo

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