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dc.creatorSimosk, Bojan-
dc.creatorKlein, Michel C. A.-
dc.creatorAraujo, Eric Fernandes de Mello-
dc.creatorvan Halteren, Aart T.-
dc.creatorvan Woudenberg, Thabo J.-
dc.creatorBevelande, Kirsten E.-
dc.creatorBuijzen, Moniek-
dc.creatorBal, Henri-
dc.date.accessioned2021-07-16T16:44:58Z-
dc.date.available2021-07-16T16:44:58Z-
dc.date.issued2020-08-
dc.identifier.citationSIMOSKI, B. et al. Understanding the complexities of Bluetooth for representing real-life social networks. Personal and Ubiquitous Computing, [S. I.], Aug. 2020. DOI: https://doi.org/10.1007/s00779-020-01435-x.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/46771-
dc.description.abstractBluetooth (BT) data has been extensively used for recognizing social patterns and inferring social networks, as BT is widely present in everyday technological devices. However, even though collecting BT data is subject to random noise and may result in substantial measurement errors, there is an absence of rigorous procedures for validating the quality of the inferred BT social networks. This paper presents a methodology for inferring and validating BT-based social networks based on parameter optimization algorithm and social network analysis (SNA). The algorithm performs edge inference in a brute-force search over a given BT data set, for deriving optimal BT social networks by validating them with predefined ground truth (GT) networks. The algorithm seeks to optimize a set of parameters, predefined considering some reliability challenges associated to the BT technology itself. The outcomes show that optimizing the parameters can reduce the number of BT data false positives or generate BT networks with the minimum amount of BT data observations. The subsequent SNA shows that the inferred BT social networks are unable to reproduce some network characteristics present in the corresponding GT networks. Finally, the generalizability of the proposed methodology is demonstrated by applying the algorithm on external BT data sets, while obtaining comparable results.pt_BR
dc.languageenpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePersonal and Ubiquitous Computingpt_BR
dc.subjectUbiquitous computingpt_BR
dc.subjectBluetoothpt_BR
dc.subjectSocial networkspt_BR
dc.subjectAlgorithmspt_BR
dc.subjectRedes sociaispt_BR
dc.subjectComputação ubíquapt_BR
dc.subjectAlgoritmospt_BR
dc.titleUnderstanding the complexities of Bluetooth for representing real-life social networkspt_BR
dc.typeArtigopt_BR
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