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Onomastics is "the science or study of the origin and forms of proper namesof persons or places." ["Onomastics". Merriam-Webster.com, 2013.http://www.merriam-webster.com (11 February 2013)]. Especially personal namesplay an important role in daily life, as all over the world future parents arefacing the task of finding a suitable given name for their child. This choiceis 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 moreinteract digitally and participate in the creation of heterogeneous,distributed, collaborative data collections. These sources of data also reflectcurrent and new naming trends as well as new emerging interrelations amongnames.  The present work shows, how basic approaches from the field of social networkanalysis and information retrieval can be applied for discovering relationsamong names, thus extending Onomastics by data mining techniques. Theconsidered approach starts with building co-occurrence graphs relative to datafrom the Social Web, respectively for given names and city names. As a mainresult, correlations between semantically grounded similarities among names(e.g., geographical distance for city names) and structural graph basedsimilarities are observed.  The discovered relations among given names are the foundation of "nameling"[http://nameling.net], a search engine and academic research platform for givennames which attracted more than 30,000 users within four months,underpinningthe relevance of the proposed methodology.

Onomastics 2.0 - The Power of Social Co-Occurrences