The strength of friendship ties in proximity sensor data.

Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have increased in size and availability over the last few years. We have yet to understand, however, to what extent such elec...

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Autores principales:	Vedran Sekara, Sune Lehmann
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a7be4fa0ec61496ab93832f070673e56
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spelling	oai:doaj.org-article:a7be4fa0ec61496ab93832f070673e562021-11-25T06:09:33ZThe strength of friendship ties in proximity sensor data.1932-620310.1371/journal.pone.0100915https://doaj.org/article/a7be4fa0ec61496ab93832f070673e562014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24999984/?tool=EBIhttps://doaj.org/toc/1932-6203Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have increased in size and availability over the last few years. We have yet to understand, however, to what extent such electronic datasets may serve as a valid proxy for real life social interactions. For an observational dataset, gathered using mobile phones, we analyze the problem of identifying transient and non-important links, as well as how to highlight important social interactions. Applying the Bluetooth signal strength parameter to distinguish between observations, we demonstrate that weak links, compared to strong links, have a lower probability of being observed at later times, while such links-on average-also have lower link-weights and probability of sharing an online friendship. Further, the role of link-strength is investigated in relation to social network properties.Vedran SekaraSune LehmannPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 7, p e100915 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vedran Sekara Sune Lehmann The strength of friendship ties in proximity sensor data.
description	Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have increased in size and availability over the last few years. We have yet to understand, however, to what extent such electronic datasets may serve as a valid proxy for real life social interactions. For an observational dataset, gathered using mobile phones, we analyze the problem of identifying transient and non-important links, as well as how to highlight important social interactions. Applying the Bluetooth signal strength parameter to distinguish between observations, we demonstrate that weak links, compared to strong links, have a lower probability of being observed at later times, while such links-on average-also have lower link-weights and probability of sharing an online friendship. Further, the role of link-strength is investigated in relation to social network properties.
format	article
author	Vedran Sekara Sune Lehmann
author_facet	Vedran Sekara Sune Lehmann
author_sort	Vedran Sekara
title	The strength of friendship ties in proximity sensor data.
title_short	The strength of friendship ties in proximity sensor data.
title_full	The strength of friendship ties in proximity sensor data.
title_fullStr	The strength of friendship ties in proximity sensor data.
title_full_unstemmed	The strength of friendship ties in proximity sensor data.
title_sort	strength of friendship ties in proximity sensor data.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/a7be4fa0ec61496ab93832f070673e56
work_keys_str_mv	AT vedransekara thestrengthoffriendshiptiesinproximitysensordata AT sunelehmann thestrengthoffriendshiptiesinproximitysensordata AT vedransekara strengthoffriendshiptiesinproximitysensordata AT sunelehmann strengthoffriendshiptiesinproximitysensordata
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The strength of friendship ties in proximity sensor data.

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