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Online Social Networks as Sensors in Smart Environments

2016Journal article Open access
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dc.contributor.authorBarbosa, Ricardo
dc.contributor.authorSantos, Ricardo
dc.date.accessioned2017-07-13T13:44:35Z
dc.date.available2017-07-13T13:44:35Z
dc.date.issued2016
dc.description.abstractSmart environments need to successfully identify their user needs, personality and behaviour in order to prepare appropriate interactions when facing different types of events. Personality is strongly associated with human behaviour and can be predicted with relatively accuracy by analysing online social profiles. Due to a constant presence in the lives of their users, online social networks have a decidedly strong social impact leading to a blur between offline and virtual life as well as the concept of digital identity and provide a rich source of data that can be used to profile and understand personal preferences and interactions of an individual. Users reveal a lot about themselves and share their personal preferences in a freely way and this paper exploits a new approach for smart environments to correctly identify their user’s personality, using online social network as a sensor. Keywords—Online social networks,pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/GIIS.2016.7814950pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10052
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.subjectOnline social networkspt_PT
dc.subjectPersonality profilingpt_PT
dc.subjectSmart environmentspt_PT
dc.subjectBig Five modelpt_PT
dc.titleOnline Social Networks as Sensors in Smart Environmentspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleGLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUMpt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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