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Analyzing the evolution of social groups in world of warcraft

: Thurau, C.; Bauckhage, C.

Postprint urn:nbn:de:0011-n-1413774 (3.5 MByte PDF)
MD5 Fingerprint: 177e09473faa07eea929a726eac7b14b
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Erstellt am: 23.9.2010

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Conference on Computational Intelligence and Games, CIG 2010 : IT University of Copenhagen, Denmark 18-21.08.2010
Los Alamitos/Calif.: IEEE, 2010
ISBN: 978-1-4244-6297-1
ISBN: 978-1-4244-6295-7
ISBN: 978-1-4244-6296-4
Conference on Computational Intelligence and Games (CIG) <1, 2010, Copenhagen>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

This paper investigates the evolution of social structures in the game WORLD OF WARCRAFT . We analyze 192 million recordings of 18 million characters belonging to 1.4 million teams, spanning a period of 4 years. Using a recent matrix factorization method, we extract lower dimensional data embeddings. The embeddings provide intuitively nterpretable categorizations and we find a tendency towards guilds comprised of casual gamers. To our knowledge, this is the first study considering such a vast amount of data for analyzing groups in MMORPGs.