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Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach

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Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach

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Agryzkov, T.; Curado, M.; Pedroche Sánchez, F.; Tortosa, L.; Vicent, JF. (2019). Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach. Symmetry (Basel). 11(2):1-17. https://doi.org/10.3390/sym11020284

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Título: Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach
Autor: Agryzkov, Taras Curado, Manuel Pedroche Sánchez, Francisco Tortosa, Leandro Vicent, Jose F.
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Fecha difusión:
Resumen:
[EN] Usually, the nodes' interactions in many complex networks need a more accurate mapping than simple links. For instance, in social networks, it may be possible to consider different relationships between people. This ...[+]
Palabras clave: Adapted PageRank algorithm , PageRank vector , Networks centrality , Multiplex networks , Biplex networks
Derechos de uso: Reconocimiento (by)
Fuente:
Symmetry (Basel). (eissn: 2073-8994 )
DOI: 10.3390/sym11020284
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/sym11020284
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84821-P/ES/ANALISIS Y VISUALIZACION DE LA CIUDAD COMO UNA RED MULTIPLE DE DATOS Y SU IMPLICACION EN EL TURISMO./
Agradecimientos:
This research is partially supported by the Spanish Government, Ministerio de Economia y Competividad, grant number TIN2017-84821-P.
Tipo: Artículo

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