Understanding factors that affect user activity in social games
College
College of Computer Studies
Document Type
Conference Proceeding
Source Title
Proceedings of the 18th Philippine Computing Science Congress (PCSC 2018)
Publication Date
2018
Abstract
The number of daily active users (DAU) in any social game is a key measure in determining a game's success and virality. Gaming companies that follow a free-lo-play (F2P) model need lo keep the DAU as high as possible. It is however, unclear what factors primarily impact DAU and how it can be increased. This study allempts to identify factors and relationships of various key metrics that affect the number of daily active users (DAU) on social games. In this study, two games released by Playlab Inc.. Jungle Cubes (JNC) and Dragon Cubes (DNC) were examined and regression models were produced to analyze and evaluate attributes that affect DAU.
Flased from the results, the M5Base model isthe most suitable re- gression modd for both games with the lowest relative root squared error of3.3093% achieved for Ji'sC. Performance of regression mod- els indicate that allributes present in the dataset directly affect the current DAU and loses its influence when attempting to predict the DAU value, 7 days ahead. Using the wrapper feature subset se- lection scheme tu aulomal1cally select allribules for the regression models, results show that DAU is primarily affected by the follow- ing attributes: session count, marketing expenses, level success and failed events, and session length.
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Recommended Citation
Del Gallego, N. A., & Bulos, R. d. (2018). Understanding factors that affect user activity in social games. Proceedings of the 18th Philippine Computing Science Congress (PCSC 2018) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/14931
Disciplines
Computer Sciences
Keywords
Video gamers; Group games
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