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| Título: | On the localization of the personalized PageRank of complex networks |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Linear Algebra and its Applications |
| Fecha: | Agosto 2013 |
| ISSN: | 0024-3795 |
| Volumen: | 439 |
| Número: | 3 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Google matrix; PageRank; Link analysis; Social networking |
| Escuela: | Centro de Tecnología Biomédica (CTB) (UPM) |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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In this paper new results on personalized PageRank are shown. We consider directed graphs that may contain dangling nodes. The main result presented gives an analytical characterization of all the possible values of the personalized PageRank for any node.We use this result to give a theoretical justification of a recent model that uses the personalized PageRank to classify users of Social Networks Sites. We introduce new concepts concerning competitivity and leadership in complex networks. We also present some theoretical techniques to locate leaders and competitors which are valid for any personalization vector and by using only information related to the adjacency matrix of the graph and the distribution of its dangling nodes.
| ID de Registro: | 32168 |
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| Identificador DC: | https://oa.upm.es/32168/ |
| Identificador OAI: | oai:oa.upm.es:32168 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5488790 |
| Identificador DOI: | 10.1016/j.laa.2012.10.051 |
| URL Oficial: | http://www.sciencedirect.com/science/article/pii/S... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 13 Abr 2015 15:54 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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