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Empirical evaluation of different feature representations for social circles detection

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Empirical evaluation of different feature representations for social circles detection

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Alonso, J.; Paredes Palacios, R.; Rosso, P. (2015). Empirical evaluation of different feature representations for social circles detection. En Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. Springer International Publishing. 31-38. https://doi.org/10.1007/978-3-319-19390-8_4

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Metadatos del ítem

Título: Empirical evaluation of different feature representations for social circles detection
Autor: Alonso, Jesús Paredes Palacios, Roberto Rosso, Paolo
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Social circles detection is a special case of community detection in social network that is currently attracting a growing interest in the research community. We propose in this paper an empirical evaluation of the ...[+]
Palabras clave: Social circles detection , Community detection , Feature representations
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-319-19389-2
Fuente:
Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-19390-8_4
Editorial:
Springer International Publishing
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-319-19390-8_4
Serie: Lecture Notes in Computer Science;9117
Código del Proyecto:
info:eu-repo/grantAgreement/ARO//W911NF-14-1-0254/US/Empirical Evaluation of Different Feature Representations for Social Circles Detection/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_4
Agradecimientos:
This work was developed in the framework of the W911NF-14-1-0254 research project Social Copying Community Detection (SOCOCODE), fundedby the US Army Research Office (ARO).
Tipo: Capítulo de libro

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