@conference{macek2013visualizing,
  address = {New York, NY, USA},
  author = {Macek, Björn-Elmar and Atzmueller, Martin},
  booktitle = {Proc. ASONAM 2013},
  interhash = {d8cd9de635a391360c1663c0ec1ba35d},
  intrahash = {04a24a6fa8abc228ea70b7d1c2ca7455},
  publisher = {ACM Press},
  title = {Visualizing The Impact of Time Series Data
for Predicting User Interactions},
  year = 2013
}

@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
}

@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
}

@inproceedings{mueller2013recommendations,
  abstract = {With the rising popularity of smart mobile devices, sensor data-based
 applications have become more and more popular. Their users record
 data during their daily routine or specifically for certain events.
 The application WideNoise Plus allows users to record sound samples
 and to annotate them with perceptions and tags. The app is being
 used to document and map the soundscape all over the world. The procedure
 of recording, including the assignment of tags, has to be as easy-to-use
 as possible. We therefore discuss the application of tag recommender
 algorithms in this particular scenario. We show, that this task is
 fundamentally different from the well-known tag recommendation problem
 in folksonomies as users do no longer tag fix resources but rather
 sensory data and impressions. The scenario requires efficient recommender
 algorithms that are able to run on the mobile device, since Internet
 connectivity cannot be assumed to be available. Therefore, we evaluate
 the performance of several tag recommendation algorithms and discuss
 their applicability in the mobile sensing use-case.},
  author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings},
  interhash = {23d1cf49208d9a0c8b883dc69d4e444d},
  intrahash = {6190d6064dfdb3b8d71f2898539e993e},
  note = {accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  title = {Tag Recommendations for SensorFolkSonomies},
  year = 2013
}

@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
}

@misc{mitzlaff2013recommending,
  abstract = {All over the world, future parents are facing the task of finding a suitable
given name for their child. This choice is influenced by different factors,
such as the social context, language, cultural background and especially
personal taste. Although this task is omnipresent, little research has been
conducted on the analysis and application of interrelations among given names
from a data mining perspective.
  The present work tackles the problem of recommending given names, by firstly
mining for inter-name relatedness in data from the Social Web. Based on these
results, the name search engine "Nameling" was built, which attracted more than
35,000 users within less than six months, underpinning the relevance of the
underlying recommendation task. The accruing usage data is then used for
evaluating different state-of-the-art recommendation systems, as well our new
\NR algorithm which we adopted from our previous work on folksonomies and which
yields the best results, considering the trade-off between prediction accuracy
and runtime performance as well as its ability to generate personalized
recommendations. We also show, how the gathered inter-name relationships can be
used for meaningful result diversification of PageRank-based recommendation
systems.
  As all of the considered usage data is made publicly available, the present
work establishes baseline results, encouraging other researchers to implement
advanced recommendation systems for given names.},
  author = {Mitzlaff, Folke and Stumme, Gerd},
  interhash = {545658b6e337858f7865b51e46d1c7a6},
  intrahash = {41f92650f0f7d78366febc1832cedba9},
  note = {cite arxiv:1302.4412Comment: Baseline results for the ECML PKDD Discovery Challenge 2013},
  title = {Recommending Given Names},
  url = {http://arxiv.org/abs/1302.4412},
  year = 2013
}

@misc{mitzlaff2013onomastics,
  abstract = {Onomastics is "the science or study of the origin and forms of proper names
of persons or places." ["Onomastics". Merriam-Webster.com, 2013.
http://www.merriam-webster.com (11 February 2013)]. Especially personal names
play an important role in daily life, as all over the world future parents are
facing the task of finding a suitable given name for their child. This choice
is influenced by different factors, such as the social context, language,
cultural background and, in particular, personal taste.
  With the rise of the Social Web and its applications, users more and more
interact digitally and participate in the creation of heterogeneous,
distributed, collaborative data collections. These sources of data also reflect
current and new naming trends as well as new emerging interrelations among
names.
  The present work shows, how basic approaches from the field of social network
analysis and information retrieval can be applied for discovering relations
among names, thus extending Onomastics by data mining techniques. The
considered approach starts with building co-occurrence graphs relative to data
from the Social Web, respectively for given names and city names. As a main
result, correlations between semantically grounded similarities among names
(e.g., geographical distance for city names) and structural graph based
similarities are observed.
  The discovered relations among given names are the foundation of "nameling"
[http://nameling.net], a search engine and academic research platform for given
names which attracted more than 30,000 users within four months,
underpinningthe relevance of the proposed methodology.},
  author = {Mitzlaff, Folke and Stumme, Gerd},
  interhash = {816104835d685de72d69faa174fd5e77},
  intrahash = {0e7c394199e6b0587a880184b206af57},
  note = {cite arxiv:1303.0484Comment: Historically, this is the first paper on the analysis of names in the  context of the name search engine 'nameling'. arXiv admin note: text overlap  with arXiv:1302.4412},
  title = {Onomastics 2.0 - The Power of Social Co-Occurrences},
  url = {http://arxiv.org/abs/1303.0484},
  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
}

@inproceedings{kibanov2013evolution,
  abstract = {Communities are a central aspect in the formation of social interaction networks. In this paper, we analyze the evolution of communities in networks of face-to-face proximity. As our application context, we consider four scientific conferences. We compare the basic properties of the contact graphs to describe the properties of the contact networks and analyze the resulting community structure using state-of-the-art automic community detection algorithms.
Specifically, we analyze the evolution of contacts and communities over time to consider the stability of the respective communities. In addition, we assess different factors which have an influence on the quality of community prediction. Overall, we provide first important insights into the evolution of contacts and communities in face-to-face contact networks.},
  address = {Los Alamitos, CA, USA},
  author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
  booktitle = {Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on},
  interhash = {14e73d96c8554e73214c36b49add934c},
  intrahash = {601dbb4ce847cd8baaec1c751f8373a5},
  publisher = {IEEE Computer Society},
  title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity},
  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
}

@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
}

@book{doerfel2013informationelle,
  author = {Doerfel, Stephan and Hotho, Andreas and Kartal-Aydemir, Aliye and Roßnagel, Alexander and Stumme, Gerd},
  interhash = {f72d297ba42797ca66baba052c846b7a},
  intrahash = {2bb934c0ff3652843fd0aff97d8d7324},
  isbn = {9783642380556 3642380557},
  publisher = {Vieweg + Teubner Verlag},
  refid = {857973438},
  title = {Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme},
  url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642380556},
  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
}

@inproceedings{scholz2013people,
  abstract = {Understanding the process of link creation is rather important for link prediction in social networks. Therefore, this paper analyzes contact structures in networks of face-to-face spatial proximity, and presents new insights on the dynamic and static contact behavior in such real world networks.
We focus on face-to-face contact networks collected at different conferences using the social conference guidance system Conferator. Specifically, we investigate the strength of ties and its connection to triadic closures in face-to-face proximity networks. Furthermore, we analyze the predictability of all, new and recurring links at different points of time during the conference. In addition, we consider network dynamics for the prediction of new links.},
  address = {Los Alamitos, CA, USA},
  author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
  booktitle = {Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on},
  interhash = {8b6051b794789000c4baa5ab059fab18},
  intrahash = {15cbb7f4dbbb8bc6ee9b7a2bf666f032},
  title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks},
  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{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 = {INFORMATIK 2013, Poster},
  interhash = {caba49a0a623346dad82849aba632778},
  intrahash = {08072aad22200d852e826ef2cde3e487},
  title = {Conferator - a Social System for Conference and Contact Management },
  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
}

@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 = {a73213a865503252caa4b28e88a77108},
  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 = {http://doi.acm.org/10.1145/2507157.2507222},
  year = 2013
}

@inproceedings{becker2013generic,
  abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.},
  address = {New York, NY, USA},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings},
  doi = {10.1145/2494091.2499776},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  pages = {1175--1182},
  publisher = {ACM},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}