@inproceedings{Scholz:2012:PHC:2411131.2411662, abstract = {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.}, acmid = {2411662}, address = {Washington, DC, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust}, doi = {10.1109/SocialCom-PASSAT.2012.49}, interhash = {9bc5d42018dbe8b926be214190258b3c}, intrahash = {b8771cc1fc02b5bb679c4a293eae517d}, isbn = {978-0-7695-4848-7}, numpages = {10}, pages = {312--321}, publisher = {IEEE Computer Society}, series = {SOCIALCOM-PASSAT '12}, title = {On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}, url = {http://dx.doi.org/10.1109/SocialCom-PASSAT.2012.49}, year = 2012 } @article{song2010limits, 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.}, author = {Song, Chaoming and Qu, Zehui and Blumm, Nicholas and Barabási, Albert-László}, doi = {10.1126/science.1177170}, eprint = {http://www.sciencemag.org/cgi/reprint/327/5968/1018.pdf}, interhash = {f2611a08bf6db54f86e884c05f3cb5fb}, intrahash = {a89330f8eb32ce62b5f5c9a2b4909f25}, journal = {Science}, number = 5968, pages = {1018--1021}, title = {Limits of Predictability in Human Mobility}, url = {http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201002-19_Science-Predictability/201002-19_Science-Predictability.pdf}, volume = 327, year = 2010 }