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dc.contributor.authorGarcia Gasulla, Dario
dc.contributor.authorÁlvarez Napagao, Sergio
dc.contributor.authorTejeda Gómez, José Arturo
dc.contributor.authorOliva Felipe, Luis Javier
dc.contributor.authorGómez Sebastià, Ignasi
dc.contributor.authorBéjar Alonso, Javier
dc.contributor.authorVázquez Salceda, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2015-05-05T09:25:59Z
dc.date.available2015-05-05T09:25:59Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationGarcía-Gasulla, D. [et al.]. Social network data analysis for event detection. A: European Conference on Artificial Intelligence. "ECAI 2014: 21st European Conference on Artificial Intelligence: 18-22 august 2014, Prague, Czech Republic: proceedings". Prague: IOS Press, 2014, p. 1009-1010.
dc.identifier.isbn978-1-61499-418-3
dc.identifier.urihttp://hdl.handle.net/2117/27743
dc.description.abstractCities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the total amount of usable data. We build a model of the normal city behavior which we use to detect abnormal situations (events). After collecting half a year of data we show examples of the events detected and introduce some applications.
dc.format.extent2 p.
dc.language.isoeng
dc.publisherIOS Press
dc.rightsAttribution-NonCommercial 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshOnline social networks
dc.subject.lcshData mining
dc.subject.otherLocation based social networks
dc.subject.otherEvent detection
dc.subject.otherData mining
dc.titleSocial network data analysis for event detection
dc.typeConference lecture
dc.subject.lemacXarxes socials en línia
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.identifier.doi10.3233/978-1-61499-419-0-1009
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ebooks.iospress.nl/volumearticle/37094
dc.rights.accessOpen Access
local.identifier.drac15558435
dc.description.versionPostprint (published version)
local.citation.authorGarcía-Gasulla, D.; Alvarez-Napagao, S.; Tejeda-Gómez, A.; Oliva-Felipe, L.; Gómez-Sebastià, I.; Bejar, J.; Vazquez, J.
local.citation.contributorEuropean Conference on Artificial Intelligence
local.citation.pubplacePrague
local.citation.publicationNameECAI 2014: 21st European Conference on Artificial Intelligence: 18-22 august 2014, Prague, Czech Republic: proceedings
local.citation.startingPage1009
local.citation.endingPage1010


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Attribution-NonCommercial 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial 3.0 Spain