@article{PhysRevE.90.032804,
  author = {Ke, Qing and Ahn, Yong-Yeol},
  doi = {10.1103/PhysRevE.90.032804},
  interhash = {b6567439f34586ac3aec90b5065db043},
  intrahash = {2a8d6bfbb99517ce9dbcf120d4e2135e},
  journal = {Phys. Rev. E},
  month = sep,
  number = 3,
  numpages = {7},
  pages = 032804,
  publisher = {American Physical Society},
  title = {Tie strength distribution in scientific collaboration networks},
  url = {http://link.aps.org/doi/10.1103/PhysRevE.90.032804},
  volume = 90,
  year = 2014
}

@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{kibanov2013evolution,
  address = {Boston, MA, USA},
  author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
  booktitle = {Proc. IEEE CPSCom 2013},
  interhash = {14e73d96c8554e73214c36b49add934c},
  intrahash = {5824b6151b2046d6295e4300311b7e8e},
  publisher = {IEEE Computer Society},
  title = {{On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}},
  year = 2013
}

@article{Atzmueller:12,
  author = {Atzmueller, Martin},
  interhash = {ce21e72d189207dbee58420af81efca8},
  intrahash = {a66dc503e2f90d0a484e0dbef5febcd3},
  journal = {Informatik Spektrum},
  number = 2,
  pages = {132-135},
  title = {Mining Social Media},
  volume = 35,
  year = 2012
}

@article{Atzmueller:12c,
  author = {Atzmueller, Martin},
  interhash = {0b20c1d53d5df05326d594726273c2fb},
  intrahash = {7b616e64994893a2aad95b5ad95db662},
  journal = {WIREs: Data Mining and Knowledge Discovery},
  title = {{Mining Social Media: Key Players, Sentiments, and Communities}},
  volume = {In Press},
  year = 2012
}

@inproceedings{doerfel2012publication,
  abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
},
  address = {Berlin/Heidelberg},
  author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
  booktitle = {ICFCA 2012},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  interhash = {f34f31e8dd1e07b1b0a5ab688f10084a},
  intrahash = {0ac1296af204a499490bf61a48d03e48},
  pages = {77--95},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Publication Analysis of the Formal Concept Analysis Community},
  url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf},
  volume = 7278,
  year = 2012
}

@incollection{ADHMS:12,
  address = {Heidelberg, Germany},
  alteditor = {Editor},
  author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd},
  booktitle = {{Modeling and Mining Ubiquitous Social Media}},
  interhash = {4f1f4b515b01cc448a91b3e368deabad},
  intrahash = {d81d6f6ccdf3ff6572898d39c90e6354},
  publisher = {Springer Verlag},
  series = {LNAI},
  title = {Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles},
  url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf},
  volume = 7472,
  year = 2012
}

@article{Mucha14052010,
  abstract = {Network science is an interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. A prominent problem in network science is the algorithmic detection of tightly connected groups of nodes known as communities. We developed a generalized framework of network quality functions that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices. This framework allows studies of community structure in a general setting encompassing networks that evolve over time, have multiple types of links (multiplexity), and have multiple scales.},
  author = {Mucha, Peter J. and Richardson, Thomas and Macon, Kevin and Porter, Mason A. and Onnela, Jukka-Pekka},
  doi = {10.1126/science.1184819},
  eprint = {http://www.sciencemag.org/content/328/5980/876.full.pdf},
  interhash = {7cc01f266e3a745d2be16a9a3b377695},
  intrahash = {c5b7cfb584d5aee1a941a8e5d3e856b1},
  journal = {Science},
  number = 5980,
  pages = {876-878},
  title = {Community Structure in Time-Dependent, Multiscale, and Multiplex Networks},
  url = {http://www.sciencemag.org/content/328/5980/876.abstract},
  volume = 328,
  year = 2010
}

@inproceedings{mitzlaff2011community,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
  intrahash = {0f45e870093c053e6f41f54c14bda46b},
  series = {LNAI},
  title = {{Community Assessment using Evidence Networks}},
  volume = 6904,
  year = 2011
}

@inproceedings{kartal2011privatsphren,
  abstract = {Aufgrund der mittlerweile unüberschaubaren Vielfalt von Anwendungsmöglichkeiten des Web 2.0, findet man fast zu jedem Lebensbereich eine passende Community im Netz. Dabei steigt auch die Anzahl der Bewertungsportale stetig und
betrifft längst nicht mehr nur die Bewertung von Waren, sondern erstreckt sich unterdessen auch auf Beurteilungen von Leistungen und Eigenschaften von zu bestimmten Berufsgruppen gehörenden Personen. Diese Entwicklung birgt die Gefahr, dass die
dadurch gewonnenen persönlichen Daten durchaus geeignet sind, wahrheitswidrig ein übermäßig positives oder übermäßig negatives Persönlichkeitsbild des Betroffenen zu konstruieren und dadurch sein Ansehen zu beeinflussen. Im Hinblick auf Fragen im
Zusammenhang mit dem Persönlichkeits- und Datenschutz soll der folgende Beitrag Maßstäbe an eine verfassungs- und datenschutzkonforme technische Gestaltung von Online-Bewertungsportalen aufzeigen.},
  author = {Kartal, Aliye and Doerfel, Stephan and Roßnagel, Alexander and Stumme, Gerd},
  booktitle = {Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung },
  editor = {Heiß, Hans-Ulrich and Pepper, Peter and Schlingloff, Holger and Schneider, Jörg},
  interhash = {cf589401116bfad4980467e68b67d173},
  intrahash = {25c89c0f9e4149da87e5212dd12481f0},
  month = {10},
  organization = {Gesellschaft für Informatik e.V. (GI)},
  pages = 412,
  publisher = {Bonner Köllen Verlag},
  series = {Lecture Notes in Informatics},
  title = {Privatsphären- und Datenschutz in Community-Plattformen: Gestaltung von Online-Bewertungsportalen},
  url = {http://www.informatik2011.de/541.html},
  vgwort = {32},
  volume = 192,
  year = 2011
}