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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425281/
https://www.ncbi.nlm.nih.gov/pubmed/32837500
http://dx.doi.org/10.1007/s00779-020-01435-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425281/
https://www.ncbi.nlm.nih.gov/pubmed/32837500
http://dx.doi.org/10.1007/s00779-020-01435-x

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