dc.creator | Corchuelo Gil, Rafael | es |
dc.creator | Reina Quintero, Antonia María | es |
dc.creator | Jiménez Aguirre, Patricia | es |
dc.date.accessioned | 2022-04-08T08:25:16Z | |
dc.date.available | 2022-04-08T08:25:16Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Corchuelo Gil, R., Reina Quintero, A.M. y Jiménez Aguirre, P. (2015). On Member Labelling in Social Networks. En IWANN 2015 : 13th International Work-Conference on Artificial Neural Networks (488-499), Palma de Mallorca, España: Springer. | |
dc.identifier.isbn | 978-3-319-19221-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/131980 | |
dc.description.abstract | Software agents are increasingly used to search for experts, recommend
resources, assess opinions, and other similar tasks in the context of social networks,
which requires to have accurate information that describes the features of the members
of the network. Unfortu-nately, many member profiles are incomplete, which has
motivated many authors to work on automatic member labelling, that is, on techniques
that can infer the null features of a member from his or her neighbour-hood. Current
proposals are based on local or global approaches; the former compute predictors from
local neighbourhoods, whereas the lat-ter analyse social networks as a whole. Their
main problem is that they tend to be inefficient and their effectiveness degrades
significantly as the percentage of null labels increases. In this paper, we present Katz,
which is a novel hybrid proposal to solve the member labelling problem using neural
networks. Our experiments prove that it outperforms other pro-posals in the literature
in terms of both effectiveness and efficiency. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2007-64119 | es |
dc.description.sponsorship | Junta de Andalucía P07-TIC-2602 | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC-4100 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2008-04718-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-21744 | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad TIN2010-09809-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-10811-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-09988-E | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2011-15497-E | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2013-40848-R | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | IWANN 2015 : 13th International Work-Conference on Artificial Neural Networks (2015), pp. 488-499. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Social networks | es |
dc.subject | Member labelling | es |
dc.subject | Hybrid approach | es |
dc.subject | Neural networks | es |
dc.title | On Member Labelling in Social Networks | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2007-64119 | es |
dc.relation.projectID | P07-TIC-2602 | es |
dc.relation.projectID | P08-TIC-4100 | es |
dc.relation.projectID | TIN2008-04718-E | es |
dc.relation.projectID | TIN2010-21744 | es |
dc.relation.projectID | TIN2010-09809-E | es |
dc.relation.projectID | TIN2010-10811-E | es |
dc.relation.projectID | TIN2010-09988-E | es |
dc.relation.projectID | TIN2011-15497-E | es |
dc.relation.projectID | TIN2013-40848-R | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-19222-2_41 | es |
dc.identifier.doi | 10.1007/978-3-319-19222-2_41 | es |
dc.contributor.group | Universidad de Sevilla. TIC258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 488 | es |
dc.publication.endPage | 499 | es |
dc.eventtitle | IWANN 2015 : 13th International Work-Conference on Artificial Neural Networks | es |
dc.eventinstitution | Palma de Mallorca, España | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |