Clusterization of an online game community through self-organizing maps and an evolved fuzzy system
Tipo
Artigo de evento
Data de publicação
2008
Periódico
Proceedings - 4th International Conference on Natural Computation, ICNC 2008
Citações (Scopus)
6
Autores
Rodrigues L.C.
Lima C.A.M.
De Oliveira P.P.B.
Mustaro P.N.
Lima C.A.M.
De Oliveira P.P.B.
Mustaro P.N.
Orientador
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ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
Online games have had an exponential increase in the market. Today, many people interact for hours in a virtual gaming world called the Massive Multiplayer Online Role-Playing Games (MMORPGs). The players maintain relationships and build communities, formed by diverse people who establish links in very different ways. To study the communities formed in those games, it is possible to cluster a player's community by common characteristics, and examine their relationships. This paper employs self-organizing maps to obtain the clusters of a player community from the game Ragnarök. Aiming to improve the performance of the clusterization, a fuzzy system was designed through genetic algorithms to measure the relevance of the inputs. The results obtained indicate that the proposed methodology can be successfully applied to the clusterization of a multiplayer community. © 2008 IEEE.
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Assuntos Scopus
Clusterization , Exponential increases , Multiplayer , On-line games , Virtual gamings