TY  - CONF
AU  - Scholz, Christoph
AU  - Atzmueller, Martin
AU  - Stumme, Gerd
A2  - 
T1  - On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties
T2  - Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
PB  - IEEE Computer Society
C1  - Washington, DC, USA
PY  - 2012/
CY  -  
VL  - 
IS  - 
SP  - 312
EP  - 321
UR  - http://dx.doi.org/10.1109/SocialCom-PASSAT.2012.49
DO  - 10.1109/SocialCom-PASSAT.2012.49
KW  - 2012
KW  - contacts
KW  - factors
KW  - human
KW  - influence
KW  - itegpub
KW  - l3s
KW  - myown
KW  - predictability
KW  - venus
L1  - 
SN  - 978-0-7695-4848-7
N1  - On the Predictability of Human Contacts
N1  - 
AB  - While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks.
ER  -