Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny
Abstract
In this paper two key venues of investigation in game analytics are combined: behavioral profiling and social network analysis. Both venues of research are well developed but combined they permit pattern evaluation across player performance and networks. Here, competitive networks covering almost 3.5 million players of the hybrid online shooter game Destiny are developed and combined with behavioral profiles based on match performance metrics and defined using archetypal analysis. The profiles are embedded in the networks along with other performance indicators for Destiny players. The social behavior of different archetypes is described. Network visualizations are presented which target the problem of making dense networked results actionable.
Keywords
Social network analysis Destiny Network visualization Multi-player Profiling Game analyticsNotes
Acknowledgments
The authors would like to extend their sincere gratitude to Bungie for making detailed behavioral telemetry from Destiny available.
References
- 1.Adele Cutler, L.B.: Archetypal analysis. Technometrics 36(4), 338–347 (1994)MathSciNetCrossRefMATHGoogle Scholar
- 2.Bauckhage, C., Drachen, A., Sifa, R.: Clustering game behavior data. IEEE Trans. Comput. Intell. AI Games 7(3), 266–278 (2015)CrossRefGoogle Scholar
- 3.Bauckhage, C., Sifa, R., Drachen, A., Thurau, C., Hadiji, F.: Beyond heatmaps: spatio-temporal clustering using behavior-based partitioning of game levels. In: IEEE Conference on Computational Intelligence and Games, pp. 1–8 (2014)Google Scholar
- 4.Bauckhage, C., Thurau, C.: Making Archetypal analysis practical. In: Denzler, J., Notni, G., Süße, H. (eds.) DAGM 2009. LNCS, vol. 5748, pp. 272–281. Springer, Heidelberg (2009)CrossRefGoogle Scholar
- 5.van de Bovenkamp, R., Shen, S., Iosup, A., Kuipers, F.: Understanding and recommending play relationships in online social gaming. In: Fifth International Conference on Communication Systems and Networks (COMSNETS), pp. 1–10 (2013)Google Scholar
- 6.Cleveland, W.S.: Visualizing Data. Hobart Press, Summit (1993)Google Scholar
- 7.Correa, C.D., Ma, K.L.: Visualizing social networks. In: Aggarwal, C.C. (ed.) Social Network Data Analytics, pp. 307–326. Springer, US (2011)CrossRefGoogle Scholar
- 8.Drachen, A., Sifa, R., Bauckhage, C., Thurau, C.: Guns, swords and data: clustering of player behavior in computer games in the wild. In: IEEE Conference on Computational Intelligence and Games, pp. 163–170 (2012)Google Scholar
- 9.Drachen, A., Schubert, M.: Spatial game analytics. In: Seif El-Nasr, M., Drachen, A., Canossa, A. (eds.) Game Analytics: Maximizing the Value of Player Data, pp. 365–402. Springer, London (2013)Google Scholar
- 10.Drachen, A., Thurau, C., Sifa, R., Bauckhage, C.: A comparison of methods for player clustering via behavioral telemetry. In: Proceedings of the FDG, pp. 245–252 (2013)Google Scholar
- 11.Drachen, A., Thurau, C., Togelius, J., Yannakakis, G.N., Bauckhage, C.: Game data mining. In: Seif El-Nasr, M., Drachen, A., Canossa, A. (eds.) Game Analytics: Maximizing the Value of Player Data, pp. 205–253. Springer, London (2013)Google Scholar
- 12.Freeman, L.C.: Visualizing social networks. J. Soc. Struct. 1, 1–15 (2000)MathSciNetGoogle Scholar
- 13.Jia, A.L., Shen, S., Bovenkamp, R.V.D., Iosup, A., Kuipers, F., Epema, D.H.J.: Socializing by gaming: Revealing social relationships in multiplayer online games. ACM Trans. Knowl. Discov. Data 10(2), 11:1–11:29 (2015)CrossRefGoogle Scholar
- 14.Kruskal, J.B., Wish, M.: Multidimensional Scaling. Sage Publications, Beverly Hills (1978)CrossRefGoogle Scholar
- 15.Lim, C.U., Harrell, D.F.: Revealing social identity phenomena in videogames with archetypal analysis. In: Proceedings of AISB Symposium on AI and Games (2015)Google Scholar
- 16.Losup, A., van de Bovenkamp, R., Shen, S., Jia, A.L., Kuipers, F.: Implicit social networks in multiplayer online games. IEEE Internet Comp. 18(3), 36–44 (2014)CrossRefGoogle Scholar
- 17.Normoyle, A., Jensen, S.T.: Bayesian clustering of player styles for multiplayer games. In: Proceedings of the AAAI, pp. 163–169 (2015)Google Scholar
- 18.Seif El-Nasr, M., Drachen, A., Canossa, A. (eds.): Game Analytics - Maximizing the Value of Player Data. Springer, London (2013)Google Scholar
- 19.Sifa, R., Bauckhage, C.: Archetypical motion: Supervised game behavior learning with archetypal analysis. In: IEEE Conference on Computational Intelligence in Games, pp. 1–8 (2013)Google Scholar
- 20.Sifa, R., Drachen, A., Bauckhage, C., Thurau, C., Canossa, A.: Behavior evolution in tomb raider underworld. In: IEEE Conference on Computational Intelligence in Games, pp. 1–8 (2013)Google Scholar
- 21.Sifa, R., Bauckhage, C., Drachen, A.: Archetypal game recommender systems. In: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, pp. 45–56 (2014)Google Scholar
- 22.Sifa, R., Drachen, A., Bauckhage, C.: Large-scale cross-game player behavior analysis on steam. In: Proceedings of the AIIDE, pp. 198–204 (2015)Google Scholar
- 23.Thawonmas, R., Iizuka, K.: Visualization of online-game players based on their action behaviors. Int. J. Comput. Games Technol. 2008, 5:1–5:9 (2008)CrossRefGoogle Scholar
- 24.Thurau, C., Bauckhage, C.: Analyzing the evolution of social groups in World of Warcraft. In: IEEE Conference on Computational Intelligence and Games, pp. 170–177 (2010)Google Scholar
- 25.Thurau, C., Kersting, K., Bauckhage, C.: Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, CIKM 2010, pp. 1785–1788. ACM (2010)Google Scholar
- 26.Wallner, G., Kriglstein, S.: An introduction to gameplay data visualization. In: Lankoski, P., Björk, S. (eds.) Game Research Methods, pp. 231–250. ETC (2015)Google Scholar
- 27.Yee, N.: The demographics, motivations, and derived experiences of users of massively multi-user online graphical environments. Presence: Teleoper. Virtual Environ. 15(3), 309–329 (2006)CrossRefGoogle Scholar