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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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dc.contributor.author Alonso, Jesús es_ES
dc.contributor.author Paredes Palacios, Roberto es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2016-05-19T09:19:16Z
dc.date.available 2016-05-19T09:19:16Z
dc.date.issued 2015-06-09
dc.identifier.isbn 978-3-319-19389-2
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/64361
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_4 es_ES
dc.description.abstract 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 multi-assignment clustering method using different feature representation models. We define different vectorial representations from both structural egonet information and user profile features. We study and compare the performance on the available labelled Facebook data from the Kaggle competition on learning social circles in networks. We compare our results with several different baselines. es_ES
dc.description.sponsorship 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). es_ES
dc.language Inglés es_ES
dc.publisher Springer International Publishing es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;9117
dc.rights Reserva de todos los derechos es_ES
dc.subject Social circles detection es_ES
dc.subject Community detection es_ES
dc.subject Feature representations es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Empirical evaluation of different feature representations for social circles detection es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-19390-8_4
dc.relation.projectID info:eu-repo/grantAgreement/ARO//W911NF-14-1-0254/US/Empirical Evaluation of Different Feature Representations for Social Circles Detection/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-319-19390-8_4 es_ES
dc.description.upvformatpinicio 31 es_ES
dc.description.upvformatpfin 38 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 302941 es_ES
dc.contributor.funder Army Research Office, EEUU es_ES
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