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A model to classify users of social networks based on PageRank

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A model to classify users of social networks based on PageRank

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Pedroche Sánchez, F. (2012). A model to classify users of social networks based on PageRank. International Journal of Bifurcation and Chaos. 22(7):1-14. https://doi.org/10.1142/S0218127412501623

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/53825

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Title: A model to classify users of social networks based on PageRank
Author: Pedroche Sánchez, Francisco
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Issued date:
Abstract:
In this paper, we present a model to classify users of Social Networks. In particular, we focus on Social Network Sites. The model is based on the PageRank algorithm. We use the personalization vector to bias the PageRank ...[+]
Subjects: Google matrix , PageRank , link analysis , social networking , Facebook
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Bifurcation and Chaos. (issn: 0218-1274 ) (eissn: 1793-6551 )
DOI: 10.1142/S0218127412501623
Publisher:
World Scientific Publishing
Publisher version: http://www.worldscientific.com/doi/abs/10.1142/S0218127412501623
Project ID:
info:eu-repo/grantAgreement/MICINN//MTM2010-18674/ES/SOLUCION ITERATIVA DE SISTEMAS LINEALES Y APLICACIONES/
Thanks:
This work is supported by Spanish DGI grant MTM2010-18674.
Type: Artículo

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