@article{mitzlaff2014social,
  abstract = {Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the },
  author = {Mitzlaff, Folke and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd},
  doi = {10.1007/s13278-014-0216-2},
  eid = {216},
  interhash = {7e02f08a123c801c33ac93109394adfb},
  intrahash = {5b268a7c5308af783c3028573ffcd0c0},
  issn = {1869-5450},
  journal = {Social Network Analysis and Mining},
  language = {English},
  number = 1,
  publisher = {Springer Vienna},
  title = {The social distributional hypothesis: a pragmatic proxy for homophily in online social networks},
  url = {http://dx.doi.org/10.1007/s13278-014-0216-2},
  volume = 4,
  year = 2014
}

@article{mueller-2014b,
  abstract = {The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.},
  author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd},
  doi = {10.1080/13614568.2013.873488},
  interhash = {6364e034fa868644b30618dc887c0270},
  intrahash = {d38f1e01e735253b4cad2c98c1027659},
  issn = {1361-4568},
  journal = {New Review of Hypermedia and Multimedia},
  month = {#mar#},
  number = 20,
  pages = {53--77},
  title = {Ubicon and its Applications for Ubiquitous Social Computing},
  url = {http://dx.doi.org/10.1080/13614568.2013.873488},
  volume = 1,
  year = 2014
}

@incollection{mitzlaff2013semantics,
  address = {Heidelberg, Germany},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Complex Networks IV},
  doi = {10.1007/978-3-642-36844-8_2},
  editor = {Ghoshal, Gourab and Poncela-Casasnovas, Julia and Tolksdorf, Robert},
  interhash = {bf333426bb7af5f01bf0c465c1bfe1fc},
  intrahash = {0a35f1ed66fcd342a6a44d70c63fb735},
  optisbn = {978-3-642-36843-1},
  opturl = {http://dx.doi.org/10.1007/978-3-642-36844-8_2},
  publisher = {Springer Verlag},
  series = {Studies in Computational Intelligence},
  title = {{Semantics of User Interaction in Social Media}},
  volume = 476,
  year = 2013
}

@inproceedings{atzmueller2013towards,
  address = {New York, NY, USA},
  author = {Atzmueller, Martin and Hilgenberg, Katy},
  booktitle = {Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013},
  interhash = {b0d93d41ff9e84514d614cd2b3507a1d},
  intrahash = {4ebea4979524a9c1c0d41845e41e33a9},
  publisher = {ACM Press},
  title = {{Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection}},
  year = 2013
}

@inproceedings{scholz2013people,
  author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
  booktitle = {ASONAM},
  interhash = {8b6051b794789000c4baa5ab059fab18},
  intrahash = {bf958ff2b11df1d9d15d9287ea07a5c9},
  title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks},
  year = 2013
}

@article{atzmueller2013exploratory,
  author = {Atzmueller, Martin and Lemmerich, Florian},
  interhash = {6e83bf4017fffe31a5632289d91c1b6d},
  intrahash = {9f176520035c05191d77ebd53803b817},
  journal = {International Journal of Web Science (Special Issue on Social Web Search and Mining)},
  number = {1/2},
  title = {{Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information}},
  volume = 2,
  year = 2013
}

@article{schulz2013rechtliche,
  author = {Schulz, Thomas and Skistims, Hendrik and Zirfas, Julia and Atzmueller, Martin and Scholz, Christoph},
  interhash = {224ac0c2ca760bea1ccdb5ee66959a8b},
  intrahash = {2ec777edc0adc9f74292caf4ae9ad4f0},
  journal = {ZD},
  pages = {60--65},
  title = {{Rechtliche Ausgestaltung sozialer Konferenzplattformen}},
  volume = 2,
  year = 2013
}

@inproceedings{mitzlaff2011semantics,
  address = {Bamberg, Germany},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proc. LWA 2013 (KDML Special Track)},
  interhash = {73088600a500f7d06768615d6e1c2b3d},
  intrahash = {820ffb2166b330bf60bb30b16e426553},
  publisher = {University of Bamberg},
  title = {{On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}},
  year = 2011
}

@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{mitzlaff2013userrelatedness,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {40aa075d925f2e6e009986fd9e60b11b},
  intrahash = {424d0f2d4a5c9a0eb68cbf2fc5b0010a},
  journal = {CoRR/abs},
  title = {{User-Relatedness and Community Structure in Social Interaction Networks}},
  volume = {1309.3888},
  year = 2013
}

@article{landia2013deeper,
  abstract = {The information contained in social tagging systems is often modelled as a graph of connections between users, items and tags. Recommendation algorithms such as FolkRank, have the potential to leverage complex relationships in the data, corresponding to multiple hops in the graph. We present an in-depth analysis and evaluation of graph models for social tagging data and propose novel adaptations and extensions of FolkRank to improve tag recommendations. We highlight implicit assumptions made by the widely used folksonomy model, and propose an alternative and more accurate graph-representation of the data. Our extensions of FolkRank address the new item problem by incorporating content data into the algorithm, and significantly improve prediction results on unpruned datasets. Our adaptations address issues in the iterative weight spreading calculation that potentially hinder FolkRank's ability to leverage the deep graph as an information source. Moreover, we evaluate the benefit of considering each deeper level of the graph, and present important insights regarding the characteristics of social tagging data in general. Our results suggest that the base assumption made by conventional weight propagation methods, that closeness in the graph always implies a positive relationship, does not hold for the social tagging domain.},
  author = {Landia, Nikolas and Doerfel, Stephan and Jäschke, Robert and Anand, Sarabjot Singh and Hotho, Andreas and Griffiths, Nathan},
  interhash = {e8095b13630452ce3ecbae582f32f4bc},
  intrahash = {e585a92994be476480545eb62d741642},
  journal = {cs.IR},
  title = {Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations},
  url = {http://arxiv.org/abs/1310.1498},
  volume = {1310.1498},
  year = 2013
}

@inproceedings{doerfel2013analysis,
  abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.},
  acmid = {2507222},
  address = {New York, NY, USA},
  author = {Doerfel, Stephan and Jäschke, Robert},
  booktitle = {Proceedings of the 7th ACM conference on Recommender systems},
  doi = {10.1145/2507157.2507222},
  interhash = {3eaf2beb1cdad39b7c5735a82c3338dd},
  intrahash = {aa4b3d79a362d7415aaa77625b590dfa},
  isbn = {978-1-4503-2409-0},
  location = {Hong Kong, China},
  numpages = {4},
  pages = {343--346},
  publisher = {ACM},
  series = {RecSys '13},
  title = {An analysis of tag-recommender evaluation procedures},
  url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2013analysis.pdf},
  year = 2013
}

@inproceedings{kibanov2013evolution,
  address = {Bamberg, Germany},
  author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
  booktitle = {Proc. LWA 2013 (KDML Special Track)},
  interhash = {84a970ee998f7e8d24b597c285e1887c},
  intrahash = {a5d94c9930fd413a404efe6d9420a752},
  publisher = {University of Bamberg},
  title = {{Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)}},
  year = 2013
}

@misc{atzmueller2013conferator,
  author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd},
  howpublished = {Poster at INFORMATIK 2013},
  institution = {University of Koblenz-Landau},
  interhash = {caba49a0a623346dad82849aba632778},
  intrahash = {2668432d7c035c34c4af4f6f96e22397},
  publisher = {INFORMATIK 2013},
  title = {{Conferator - a Social System for Conference and Contact Management}},
  year = 2013
}

@incollection{atzmueller2013social,
  address = {Heidelberg, Germany},
  author = {Atzmueller, Martin},
  booktitle = {Mobile Social Networking: An Innovative Approach},
  editor = {Chin, Alvin and Zhang, Daqing},
  interhash = {1be75b604acbaf39653eeca9833782df},
  intrahash = {cd910f3a16c9368e7b73407708452653},
  publisher = {Springer Verlag},
  title = {{Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities}},
  year = 2013
}

@book{rothberghofer2013proceedings,
  address = {Annecy, France},
  editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin},
  interhash = {f1f8980780e57fc36c9c44ce7d3673b4},
  intrahash = {2b36fe460601217691180f0affbbe286},
  publisher = {CONTEXT 2013},
  title = {{Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}},
  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
}

@incollection{LA:12,
  address = {Heidelberg, Germany},
  alteditor = {Editor},
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {{Modeling and Mining Ubiquitous Social Media}},
  interhash = {ae9dc5bfe7f42f1e9ca59aadda4bfd9e},
  intrahash = {8435f029bf0e32340e2cf44d0eeb65e7},
  publisher = {Springer Verlag},
  series = {LNAI},
  title = {{Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media}},
  url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf},
  volume = 7472,
  year = 2012
}

@proceedings{CAH:12,
  address = {New York, NY, USA},
  editor = {Chin, Alvin and Atzmueller, Martin and Helic, Denis},
  interhash = {8c21f6c9eb9d4658ca2374f12a63e950},
  intrahash = {338ca2515a0f6cd77996d1bbf54c7f4d},
  publisher = {ACM Press},
  title = {{Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media}},
  year = 2012
}