@incollection{singer2014folksonomies,
  author = {Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {Encyclopedia of Social Network Analysis and Mining},
  interhash = {3a55606e91328ca0191127b1fafe189e},
  intrahash = {84d9498b73de976d8d550c6761d4be0d},
  pages = {542--547},
  publisher = {Springer},
  title = {Folksonomies},
  year = 2014
}

@article{noKey,
  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
}

@misc{singer2014hyptrails,
  abstract = {When users interact with the Web today, they leave sequential digital trails
on a massive scale. Examples of such human trails include Web navigation,
sequences of online restaurant reviews, or online music play lists.
Understanding the factors that drive the production of these trails can be
useful for e.g., improving underlying network structures, predicting user
clicks or enhancing recommendations. In this work, we present a general
approach called HypTrails for comparing a set of hypotheses about human trails
on the Web, where hypotheses represent beliefs about transitions between
states. Our approach utilizes Markov chain models with Bayesian inference. The
main idea is to incorporate hypotheses as informative Dirichlet priors and to
leverage the sensitivity of Bayes factors on the prior for comparing hypotheses
with each other. For eliciting Dirichlet priors from hypotheses, we present an
adaption of the so-called (trial) roulette method. We demonstrate the general
mechanics and applicability of HypTrails by performing experiments with (i)
synthetic trails for which we control the mechanisms that have produced them
and (ii) empirical trails stemming from different domains including website
navigation, business reviews and online music played. Our work expands the
repertoire of methods available for studying human trails on the Web.},
  author = {Singer, Philipp and Helic, Denis and Hotho, Andreas and Strohmaier, Markus},
  interhash = {54535487cdfa9024073c07e336e03d70},
  intrahash = {07a19041ef1bfd5cef707e03d1510d5e},
  note = {cite arxiv:1411.2844},
  title = {HypTrails: A Bayesian Approach for Comparing Hypotheses about Human
  Trails on the Web},
  url = {http://arxiv.org/abs/1411.2844},
  year = 2014
}

@proceedings{jannach2014proceedings,
  bibsource = {dblp computer science bibliography, http://dblp.org},
  editor = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad},
  interhash = {a1a704ec9c98e6031a1444c6eccc7c0a},
  intrahash = {09cb7c63e60bd3c5e6773c9c871a8aba},
  publisher = {CEUR-WS.org},
  series = {{CEUR} Workshop Proceedings},
  title = {Proceedings of the 6th Workshop on Recommender Systems and the Social
               Web (RSWeb 2014) co-located with the 8th {ACM} Conference on Recommender
               Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014},
  url = {http://ceur-ws.org/Vol-1271},
  volume = 1271,
  year = 2014
}

@proceedings{cellier2014proceedings,
  bibsource = {dblp computer science bibliography, http://dblp.org},
  editor = {Cellier, Peggy and Charnois, Thierry and Hotho, Andreas and Matwin, Stan and Moens, Marie{-}Francine and Toussaint, Yannick},
  interhash = {212d282598a034c37510c1c08c4f3a34},
  intrahash = {cfb7265080d484cfda32e1fbdaff361f},
  publisher = {CEUR-WS.org},
  series = {{CEUR} Workshop Proceedings},
  title = {Proceedings of the 1st International Workshop on Interactions between
               Data Mining and Natural Language Processing co-located with The European
               Conference on Machine Learning and Principles and Practice of Knowledge
               Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September
               15, 2014},
  url = {http://ceur-ws.org/Vol-1202},
  volume = 1202,
  year = 2014
}

@inproceedings{jannach2014sixth,
  author = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {Eighth {ACM} Conference on Recommender Systems, RecSys '14, Foster               City, Silicon Valley, CA, {USA} - October 06 - 10, 2014},
  doi = {10.1145/2645710.2645786},
  interhash = {b465a3695da123d6ee9de1675cb3d480},
  intrahash = {5773f799bec72240eda5e6cfb6a03d7b},
  pages = 395,
  title = {The sixth {ACM} RecSys workshop on recommender systems and the social
               web},
  url = {http://doi.acm.org/10.1145/2645710.2645786},
  year = 2014
}

@inproceedings{doerfel2014social,
  address = {New York, NY, USA},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {Proceedings of the 23rd International World Wide Web Conference},
  interhash = {9223d6d728612c8c05a80b5edceeb78b},
  intrahash = {11fab5468dd4b4e3db662ea5e68df8e0},
  publisher = {ACM},
  series = {WWW 2014},
  title = {How Social is Social Tagging?},
  year = 2014
}

@inproceedings{doerfel2014evaluating,
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen,               Germany, September 8-10, 2014.},
  editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian},
  interhash = {955cd7c6f7652b7c531b699464925b1f},
  intrahash = {4b2e73c82b5a84e1959ad66aaad4a235},
  pages = {18--19},
  publisher = {CEUR-WS.org},
  title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior
               in BibSonomy},
  url = {http://ceur-ws.org/Vol-1226/paper06.pdf},
  year = 2014
}

@article{atzmueller2014ubicon,
  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 = {176e4f2816af5fe1630ed65e062900ce},
  journal = {New Review of Hypermedia and Multimedia},
  number = 1,
  pages = {53--77},
  title = {{Ubicon and its Applications for Ubiquitous Social Computing}},
  url = {http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488},
  volume = 20,
  year = 2014
}

@misc{doerfel2014course,
  abstract = {Social tagging systems have established themselves as an important part in
today's web and have attracted the interest from our research community in a
variety of investigations. The overall vision of our community is that simply
through interactions with the system, i.e., through tagging and sharing of
resources, users would contribute to building useful semantic structures as
well as resource indexes using uncontrolled vocabulary not only due to the
easy-to-use mechanics. Henceforth, a variety of assumptions about social
tagging systems have emerged, yet testing them has been difficult due to the
absence of suitable data. In this work we thoroughly investigate three
available assumptions - e.g., is a tagging system really social? - by examining
live log data gathered from the real-world public social tagging system
BibSonomy. Our empirical results indicate that while some of these assumptions
hold to a certain extent, other assumptions need to be reflected and viewed in
a very critical light. Our observations have implications for the design of
future search and other algorithms to better reflect the actual user behavior.},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  interhash = {65f287480af20fc407f7d26677f17b72},
  intrahash = {988ea3a9b85ec0656e27750e4080325c},
  note = {cite arxiv:1401.0629},
  title = {Of course we share! Testing Assumptions about Social Tagging Systems},
  url = {http://arxiv.org/abs/1401.0629},
  year = 2014
}