KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Chance Discovery
Cellular automata and Hilditch thinning for extraction of user paths in online games
NetGames '06 Proceedings of 5th ACM SIGCOMM workshop on Network and system support for games
Visualization of online-game players based on their action behaviors
International Journal of Computer Games Technology - Networking for Computer Games
Discovery of online game user relationship based on co-occurrence of words
ICEC'06 Proceedings of the 5th international conference on Entertainment Computing
Clustering of online game users based on their trails using self-organizing map
ICEC'06 Proceedings of the 5th international conference on Entertainment Computing
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Keygraph is a visualization tool for discovery of relations among text-based data. This paper discusses a new application of KeyGraph for discovery of player characteristics in Massively Multiplayer Online Games (MMOGs). To achieve high visualization ability for this application, we propose a preprocessing method that aggregates action symbol sub-sequences of players into more informative forms. To verify whether this aim is achieved, we conduct an experiment where human subjects are asked to classify types of players in a simulated MMOG with KeyGraphs using and not using the proposed preprocessing method. Experimental results confirm the effectiveness of the proposed method.