@misc{mitzlaff2013userrelatedness,
  abstract = {With social media and the according social and ubiquitous applications
finding their way into everyday life, there is a rapidly growing amount of user
generated content yielding explicit and implicit network structures. We
consider social activities and phenomena as proxies for user relatedness. Such
activities are represented in so-called social interaction networks or evidence
networks, with different degrees of explicitness. We focus on evidence networks
containing relations on users, which are represented by connections between
individual nodes. Explicit interaction networks are then created by specific
user actions, for example, when building a friend network. On the other hand,
more implicit networks capture user traces or evidences of user actions as
observed in Web portals, blogs, resource sharing systems, and many other social
services. These implicit networks can be applied for a broad range of analysis
methods instead of using expensive gold-standard information.
  In this paper, we analyze different properties of a set of networks in social
media. We show that there are dependencies and correlations between the
networks. These allow for drawing reciprocal conclusions concerning pairs of
networks, based on the assessment of structural correlations and ranking
interchangeability. Additionally, we show how these inter-network correlations
can be used for assessing the results of structural analysis techniques, e.g.,
community mining methods.},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {40aa075d925f2e6e009986fd9e60b11b},
  intrahash = {cbed5fadde51ddb20c6a470ced93556a},
  note = {cite arxiv:1309.3888},
  title = {User-Relatedness and Community Structure in Social Interaction Networks},
  url = {http://arxiv.org/abs/1309.3888},
  year = 2013
}

@inproceedings{scholz2013people,
  address = {New York, NY, USA},
  author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
  booktitle = {Proc. ASONAM 2013},
  interhash = {8b6051b794789000c4baa5ab059fab18},
  intrahash = {0fee74fd5b3f4c2af09e3af256086c63},
  publisher = {ACM Press},
  title = {{How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}},
  year = 2013
}

@inproceedings{christophscholzandmartinatzmuellerandalainbarratandcirocattutoandgerdstumme2013insights,
  address = {Palo Alto, CA, USA},
  author = {{Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme}},
  booktitle = {Proc. 7th Intl. AAAI Conference on Weblogs and Social Media},
  interhash = {18e166abcc948c86d6d4e9de9b204760},
  intrahash = {3dce3522e260238f2a8e802b52096cb7},
  optpages = {To appear},
  publisher = {AAAI Press},
  title = {{New Insights and Methods For Predicting Face-To-Face Contacts}},
  year = 2013
}

@inproceedings{mitzlaff2011community,
  abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups.},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  doi = {10.1007/978-3-642-23599-3_5},
  editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin},
  interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
  intrahash = {6f0d819fd09357e11ef074c242f824a6},
  isbn = {978-3-642-23598-6},
  pages = {79-98},
  publisher = {Springer Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {Community Assessment Using Evidence Networks},
  url = {http://dx.doi.org/10.1007/978-3-642-23599-3_5},
  volume = 6904,
  year = 2011
}

@article{palla2007quantifying,
  author = {Palla, Gergely and Barabási, Albert-lászló and Vicsek, Tamás and Hungary, Budapest},
  interhash = {911359764769215213b2d31dc6394078},
  intrahash = {9c5a50822cb5580b66a7371b833bb2fe},
  pages = 2007,
  title = {Quantifying social group evolution},
  url = {http://130.203.133.150/viewdoc/summary?doi=10.1.1.119.7541},
  volume = 446,
  year = 2007
}