A latent space mapping for link prediction

DC FieldValueLanguage
dc.contributor.authorBrew, Anthony-
dc.contributor.authorSalter-Townshend, Michael-
dc.date.accessioned2011-04-08T12:16:08Z-
dc.date.available2011-04-08T12:16:08Z-
dc.date.issued2010-12-11-
dc.identifier.urihttp://hdl.handle.net/10197/2895-
dc.descriptionNIPS Workshop on Networks across Disciplines in Theory and Applications, 11th December 2010, Whistler BC, Canadaen
dc.description.abstractNetwork modeling can be approached using either discriminative or probabilistic models. In the task of link prediction a probabilistic model will give a probability for the existence of a link; while in some scenarios this may be beneficial, in others a hard discriminative boundary needs to be set. Hence the use of a discriminative classifier is preferable. In domains such as image analysis and speaker recognition, probabilistic models have been used as a mechanism from which features can be extracted. This paper examines using a probabilistic model built on the entire graph to extract features to predict the existence of unknown links between two nodes. It demonstrates how features extracted from the model as well as the predicted probability of a link existing can aid the classification process.en
dc.description.sponsorshipScience Foundation Irelanden
dc.description.uriConference websiteen
dc.description.urihttp://morrislab.med.utoronto.ca/~anna/networksnips2010/en
dc.format.extent241738 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.relation.requiresMathematical Sciences Research Collectionen
dc.subjectNetworksen
dc.subjectLink predictionen
dc.subjectSocial network analysisen
dc.subject.lcshSocial sciences--Network analysisen
dc.subject.lcshSocial networks--Mathematical modelsen
dc.subject.lcshProbabilitiesen
dc.subject.lcshCluster analysisen
dc.titleA latent space mapping for link predictionen
dc.typeConference Publicationen
dc.internal.availabilityFull text availableen
dc.internal.webversionshttp://morrislab.med.utoronto.ca/~anna/networksnips2010/Home_files/13_brew_latentmap-nips2010.pdf-
dc.statusPeer revieweden
dc.neeo.contributorBrew|Anthony|aut|-
dc.neeo.contributorSalter-Townshend|Michael|aut|-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-sa/1.0/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Computer Science Research Collection
Mathematics and Statistics Research Collection
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