Abstract
To keep an online game interesting to its users, it is important to know them. In this paper, in order to characterize user characteristics, we discuss clustering of online-game users based on their trails using Self Organization Map (SOM). As inputs to SOM, we introduce transition probabilities between landmarks in the targeted game map. An experiment is conducted confirming the effectiveness of the presented technique.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Börner, K., Penumarthy, S.: Social Diffusion Patterns in Three-Dimensional Virtual Worlds. Information Visualization Journal 2(3), 182–198 (2003)
Kohonen, T.: Self-Organizing Maps, 2nd Extended edn. Springer Series in Information Sciences, vol. 30. Springer, New York (1997)
Oja, M., Kaski, S., Kohonen, T.: Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001 Addendum. Neural Computing Surveys 3, 1–156 (2003)
Sadeghian, P., Kantardzic, M., Lozitskiy, O., Sheta, W.: Route Recommendations in Complex Virtual Environments: The Sequence Mining Approach. The International Journal of Human-Computer Studies (to appear)
SOM_PAK (2004), http://www.cis.hut.fi/research/som_lvq_pak.shtml
Chittaro, L., Ieronutti, L.: A Visual Tool for Tracing Behaviors of Users in Virtual Environments. In: Proc. of the 7th Internatioon Advanced Visual Interfaces Conference, pp. 40–47. ACM Press, New York (2004)
Thawonmas, R., Hata, K.: Aggregation of Action Symbol Sub-sequences for Discovery of Online-Game Player Characteristics Using KeyGraph. In: Kishino, F., Kitamura, Y., Kato, H., Nagata, N. (eds.) ICEC 2005. LNCS, vol. 3711, pp. 126–135. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 IFIP International Federation for Information Processing
About this paper
Cite this paper
Thawonmas, R., Kurashige, M., Iizuka, K., Kantardzic, M. (2006). Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. In: Harper, R., Rauterberg, M., Combetto, M. (eds) Entertainment Computing - ICEC 2006. ICEC 2006. Lecture Notes in Computer Science, vol 4161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872320_51
Download citation
DOI: https://doi.org/10.1007/11872320_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45259-1
Online ISBN: 978-3-540-45261-4
eBook Packages: Computer ScienceComputer Science (R0)