@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
}

@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
}

@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{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{mitzlaff2013leveraging,
  author = {Mitzlaff, Folke},
  booktitle = {Proceedings from Sunbelt XXXIII},
  interhash = {c8e7748fd7777e15c66f8dce8189a7a5},
  intrahash = {aedf89a1eb405370be2a6d8e0c3be382},
  title = {Name Me If You Can(!) - Leveraging Networks of Given Names},
  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
}

@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
}