Modelling Social Network Sites with PageRank and Social Competences
[EN] In this communication a recent method to classify the users of an SNS into Competitivity groups is recalled. This method is based on the PageRank algorithm. Competitivity groups are sets of nodes that compete among each other to gain PageRank via the personalization vector. Specific features of...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/46059 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/46059 |
| Access Level: | acceso abierto |
| Palabra clave: | Google matrix PageRank Sns Ties Link analysis Ranking a lgorithm Online relationship MATEMATICA APLICADA |
| Sumario: | [EN] In this communication a recent method to classify the users of an SNS into Competitivity groups is recalled. This method is based on the PageRank algorithm. Competitivity groups are sets of nodes that compete among each other to gain PageRank via the personalization vector. Specific features of the SNSs (such as number of friends or activity of the users) can be considered as Social Competences. By means of these Social Competences a node can modify its ranking inside a Competitivity group. |
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