Understanding the complexities of Bluetooth for representing real-life social networks: A methodology for inferring and validating Bluetooth-based social network graphs

Bluetooth (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 abs...

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Bibliografische gegevens
Gepubliceerd in:Pers Ubiquitous Comput
Hoofdauteurs: Simoski, Bojan, Klein, Michel C.A., Araújo, Eric Fernandes de Mello, van Halteren, Aart T., van Woudenberg, Thabo J., Bevelander, Kirsten E., Buijzen, Moniek, Bal, Henri
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Springer London 2020
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Original Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7425281/
https://ncbi.nlm.nih.gov/pubmed/32837500
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00779-020-01435-x
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