Christoph Scholz; Martin Atzmueller; Alain Barrat; Ciro Cattuto & Gerd Stumme
(2013):
New Insights and Methods For Predicting Face-To-Face Contacts.
In: Proc. 7th Intl. AAAI Conference on Weblogs and Social Media,
Palo Alto, CA, USA.
[BibTeX][Endnote]
@inproceedings{christophscholzandmartinatzmuellerandalainbarratandcirocattutoandgerdstumme2013insights,
author = {Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme},
title = {New Insights and Methods For Predicting Face-To-Face Contacts},
booktitle = {Proc. 7th Intl. AAAI Conference on Weblogs and Social Media},
publisher = {AAAI Press},
address = {Palo Alto, CA, USA},
year = {2013},
keywords = {2013, conferator, contact, face-to-face, iteg, itegpub, l3s, link, myown, networks, prediction, venus}
}
%0 = inproceedings
%A = Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme
%B = Proc. 7th Intl. AAAI Conference on Weblogs and Social Media
%C = Palo Alto, CA, USA
%D = 2013
%I = AAAI Press
%T = New Insights and Methods For Predicting Face-To-Face Contacts
Scholz, C.; Atzmueller, M.; Kibanov, M. & Stumme, G.
(2013):
How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks.
In: ASONAM,
[BibTeX][Endnote]
@inproceedings{scholz2013people,
author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks},
booktitle = {ASONAM},
year = {2013},
keywords = {2013, analysis, iteg, itegpub, l3s, link, myown, network, prediction, social}
}
%0 = inproceedings
%A = Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd
%B = ASONAM
%D = 2013
%T = How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks
Scholz, C.; Atzmueller, M. & Stumme, G.
(2012):
On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties.
In: Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom),
Boston, MA, USA.
[Volltext]
[BibTeX][Endnote]
@inproceedings{SAS:12,
author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd},
title = {On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties},
booktitle = {Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom)},
publisher = {IEEE Computer Society},
address = {Boston, MA, USA},
year = {2012},
url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf},
keywords = {2012, contact, data, human, itegpub, l3s, mining, myown, patterns, prediction, rfid, social, socialnetworks, venus}
}
%0 = inproceedings
%A = Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd
%B = Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom)
%C = Boston, MA, USA
%D = 2012
%I = IEEE Computer Society
%T = On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties
%U = http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf
Song, C.; Qu, Z.; Blumm, N. & Barabási, A.-L.
(2010):
Limits of Predictability in Human Mobility.
In: Science,
Ausgabe/Number: 5968,
Vol. 327,
Erscheinungsjahr/Year: 2010.
Seiten/Pages: 1018-1021.
[Volltext] [Kurzfassung] [BibTeX]
[Endnote]
A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.
@article{song2010limits,
author = {Song, Chaoming and Qu, Zehui and Blumm, Nicholas and Barabási, Albert-László},
title = {Limits of Predictability in Human Mobility},
journal = {Science},
year = {2010},
volume = {327},
number = {5968},
pages = {1018--1021},
url = {http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201002-19_Science-Predictability/201002-19_Science-Predictability.pdf},
doi = {10.1126/science.1177170},
keywords = {control, everyaware, human, mobile, networking, prediction, privacy, social, venus},
abstract = {A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.
}
}
%0 = article
%A = Song, Chaoming and Qu, Zehui and Blumm, Nicholas and Barabási, Albert-László
%D = 2010
%T = Limits of Predictability in Human Mobility
%U = http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201002-19_Science-Predictability/201002-19_Science-Predictability.pdf