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Parametric controllability of the personalized PageRank: Classic model vs biplex approach

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Parametric controllability of the personalized PageRank: Classic model vs biplex approach

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Flores, J.; García, E.; Pedroche Sánchez, F.; Romance, M. (2020). Parametric controllability of the personalized PageRank: Classic model vs biplex approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(2):1-15. https://doi.org/10.1063/1.5128567

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Title: Parametric controllability of the personalized PageRank: Classic model vs biplex approach
Author: Flores, Julio García, Esther Pedroche Sánchez, Francisco Romance, Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] Measures of centrality in networks defined by means of matrix algebra, like PageRank-type centralities, have been used for over 70 years. Recently, new extensions of PageRank have been formulated and may include a ...[+]
Subjects: PageRank , Biplex-approach , Complex networks
Copyrigths: Reserva de todos los derechos
Source:
Chaos An Interdisciplinary Journal of Nonlinear Science. (issn: 1054-1500 )
DOI: 10.1063/1.5128567
Publisher:
American Institute of Physics
Publisher version: https://doi.org/10.1063/1.5128567
Project ID:
MICINN/MTM2017-84194-P
MINECO/MTM2016-76808-P
MICINN/PGC2018-101625-B-I00
Thanks:
This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities under Project Nos. PGC2018-101625-B-I00, MTM2016-76808-P, and MTM2017-84194-P (AEI/FEDER, UE).
Type: Artículo

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