We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months. We demonstrate the ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms.
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Journal Article
%1 Eagle2006Reality
%A Eagle, Nathan
%A Pentland, Alex S.
%B Personal and Ubiquitous Computing
%C London, UK, UK
%D 2006
%I Springer-Verlag
%J Personal Ubiquitous Comput.
%K crawdad, social-networks temporal-networks mobile-phones human-mobility
%N 4
%P 255--268
%R 10.1007/s00779-005-0046-3
%T Reality Mining: Sensing Complex Social Systems
%U http://dx.doi.org/10.1007/s00779-005-0046-3
%V 10
%X We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months. We demonstrate the ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms.
@article{Eagle2006Reality,
abstract = {{We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months. We demonstrate the ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms.}},
added-at = {2019-06-10T14:53:09.000+0200},
address = {London, UK, UK},
author = {Eagle, Nathan and Pentland, Alex S.},
biburl = {https://www.bibsonomy.org/bibtex/2d8e1106104d87e4bb2ea7c4071d781af/nonancourt},
booktitle = {Personal and Ubiquitous Computing},
citeulike-article-id = {899208},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1122739.1122745},
citeulike-linkout-1 = {http://dx.doi.org/10.1007/s00779-005-0046-3},
citeulike-linkout-2 = {http://www.springerlink.com/content/l562745318077t54},
citeulike-linkout-3 = {http://link.springer.com/article/10.1007/s00779-005-0046-3},
day = 3,
doi = {10.1007/s00779-005-0046-3},
interhash = {a5c1235a43805d994f695a67d030f012},
intrahash = {d8e1106104d87e4bb2ea7c4071d781af},
issn = {1617-4909},
journal = {Personal Ubiquitous Comput.},
keywords = {crawdad, social-networks temporal-networks mobile-phones human-mobility},
month = mar,
number = 4,
pages = {255--268},
posted-at = {2009-07-09 17:02:07},
priority = {2},
publisher = {Springer-Verlag},
timestamp = {2019-08-01T16:16:14.000+0200},
title = {{Reality Mining: Sensing Complex Social Systems}},
url = {http://dx.doi.org/10.1007/s00779-005-0046-3},
volume = 10,
year = 2006
}