@inproceedings{BAKHSS:11,
  address = {Chemnitz},
  author = {Behrenbruch, Kay and Atzmueller, Martin and Kniewel, Romy and Hoberg, Sebastian and Stumme, Gerd and Schmidt, Ludger},
  booktitle = {GfA-Frühjahrskongress},
  interhash = {bb1435b451f54abf143ea892375abf55},
  intrahash = {addbaaba7aec8360e23284c849e216ad},
  title = {Gestaltung technisch-sozialer Vernetzung in der Arbeitsorganisation: Untersuchung zur Nutzerakzeptanz von RFID-Technologie},
  year = 2011
}

@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
}

@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.sciencemag.org/cgi/content/abstract/327/5968/1018},
  volume = 327,
  year = 2010
}

@inproceedings{Ahn07snowballSampling,
  abstract = {Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks.},
  address = {New York, NY, USA},
  author = {Ahn, Yong-Yeol and Han, Seungyeop and Kwak, Haewoon and Moon, Sue and Jeong, Hawoong},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242685},
  interhash = {444ffef9e7a5b4255d78f26f0409864d},
  intrahash = {6165fcf297f7b8cca2f9bb7e73c7d890},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {835--844},
  publisher = {ACM},
  title = {Analysis of topological characteristics of huge online social networking services},
  url = {http://portal.acm.org/citation.cfm?id=1242685},
  year = 2007
}

@inproceedings{Caverlee2008:LargeScaleStudyMySpace,
  author = {Caverlee, James and Webb, Steve},
  booktitle = {Proceedings from the 2nd International Conference on Weblogs and Social Media (AAAI)},
  comment = {"Nearly half of the profiles on MySpace have been abandoned"

"While young users (in their teens and 20s) are most prevalent
on MySpace, women who are most prevalent at the
youngest ages (14 to 20), whereas men are most prevalent
for all other ages (21 and up)."

"Overall, the fraction of private profiles is increasing with
time"},
  interhash = {ab4c8bedf5831ad03abacd1c25b87a03},
  intrahash = {56c414dfc572c2b0c5cbf48458c744b5},
  posted-at = {2009-01-01 22:53:24},
  priority = {2},
  title = {A Large-Scale Study of MySpace:
Observations and Implications for Online Social Networks},
  url = {http://faculty.cs.tamu.edu/caverlee/pubs/caverlee08alarge.pdf},
  year = 2008
}