User activity decay in mobile games determined by simple differential equations?
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Jukka Heikkonen | Tapio Pahikkala | Antti Airola | Markus Viljanen | J. Heikkonen | T. Pahikkala | A. Airola | Markus Viljanen
[1] Christian Bauckhage,et al. How players lose interest in playing a game: An empirical study based on distributions of total playing times , 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).
[2] Jukka Heikkonen,et al. Modelling user retention in mobile games , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[3] Christian Bauckhage,et al. The Playtime Principle: Large-scale cross-games interest modeling , 2014, 2014 IEEE Conference on Computational Intelligence and Games.
[4] G. M. Laslett,et al. GENERALIZATIONS OF POWER-LAW DISTRIBUTIONS APPLICABLE TO SAMPLED FAULT-TRACE LENGTHS : MODEL CHOICE, PARAMETER ESTIMATION AND CAVEATS , 1999 .
[5] Christian Bauckhage,et al. Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes , 2013, ICWSM.
[6] Debanjan Saha,et al. A long-term study of a popular MMORPG , 2007, NetGames '07.
[7] Gordon Johnston,et al. Statistical Models and Methods for Lifetime Data , 2003, Technometrics.
[8] Pasquale Cirillo,et al. Are your data really Pareto distributed , 2013, 1306.0100.
[9] Brent E. Harrison,et al. An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games , 2015, IEEE Transactions on Computational Intelligence and AI in Games.
[10] Arnav Jhala,et al. Modeling Player Retention in Madden NFL 11 , 2011, IAAI.
[11] Cristina V. Lopes,et al. Retention and progression: Seven months in World of Warcraft , 2014, FDG.
[12] Kuan-Ta Chen,et al. Effect of Network Quality on Player Departure Behavior in Online Games , 2009, IEEE Transactions on Parallel and Distributed Systems.
[13] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[14] Saleem N. Bhatti,et al. Modelling user behaviour in networked games , 2001, MULTIMEDIA '01.
[15] Chris GauthierDickey,et al. Characterizing Virtual Populations in Massively Multiplayer Online Role-Playing Games , 2010, MMM.
[16] D. Kleinbaum,et al. Survival Analysis: A Self-Learning Text. , 1996 .
[17] Kuan-Ta Chen,et al. On prophesying online gamer departure , 2009, 2009 8th Annual Workshop on Network and Systems Support for Games (NetGames).
[18] J. Whitehead,et al. Why players start and stop playing a Chinese social network game , 2013 .
[19] Sam Devlin,et al. Predicting player disengagement and first purchase with event-frequency based data representation , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).
[20] Boi Faltings,et al. Hidden Markov models for churn prediction , 2015, 2015 SAI Intelligent Systems Conference (IntelliSys).
[21] A. Ghasemi,et al. Normality Tests for Statistical Analysis: A Guide for Non-Statisticians , 2012, International journal of endocrinology and metabolism.
[22] Debanjan Saha,et al. Measurement-based characterization of a collection of on-line games , 2005, IMC '05.
[23] Christian Bauckhage,et al. Predicting Purchase Decisions in Mobile Free-to-Play Games , 2015, AIIDE.
[24] Christian Bauckhage,et al. Predicting player churn in the wild , 2014, 2014 IEEE Conference on Computational Intelligence and Games.