  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.
