NDLI: Clusterization of an Online Game Community through Self-Organizing Maps and an Evolved Fuzzy System

Content Provider	IEEE Xplore Digital Library
Author	Rodrigues, L.C. Lima, C. Oliveira, P. Mustaro, P.N.
Copyright Year	2008
Abstract	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 Ragnarok. 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.
Starting Page	330
Ending Page	334
File Size	289782
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Machine learning algorithms Social network services Very large scale integration Topology self-organizing maps Genetic algorithms Self organizing feature maps online game community Clustering algorithms Parallel processing fuzzy system clusterization Fuzzy systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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