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Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data

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Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data

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Agryzkov, T.; Pedroche Sánchez, F.; Tortosa, L.; Vicent, JF. (2018). Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data. ISPRS International Journal of Geo-Information. 7(12):1-22. https://doi.org/10.3390/ijgi7120480

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/145538

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Title: Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data
Author: Agryzkov, Taras Pedroche Sánchez, Francisco Tortosa, Leandro Vicent, José F.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] Identifying the influential nodes in complex networks is a fundamental and practical topic at the moment. In this paper, a new centrality measure for complex networks is proposed based on two contrasting models that ...[+]
Subjects: Networks centrality , Adapted PageRank Algorithm , PageRank , Two-layers PageRank , Spectral theory
Copyrigths: Reconocimiento (by)
Source:
ISPRS International Journal of Geo-Information. (eissn: 2220-9964 )
DOI: 10.3390/ijgi7120480
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/ijgi7120480
Project ID:
MICINN/TIN2017-84821-P
Thanks:
Partially supported by the Spanish Government, Ministerio de Economia y Competividad, grant number TIN2017-84821-P.
Type: Artículo

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