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Listar por autor "Agryzkov, Taras"

Mostrando ítems 1-2 de 2

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

Agryzkov, Taras; Pedroche Sánchez, Francisco; Tortosa, Leandro; Vicent, José F. (MDPI AG, 2018-12)

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

Agryzkov, Taras; Curado, Manuel; Pedroche Sánchez, Francisco; Tortosa, Leandro; Vicent, Jose F. (MDPI AG, 2019-02)

[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 ...

Mostrando ítems 1-2 de 2