Analyzing game stickiness using clustering techniques

Abstract

The popularity of computer games has led to tremendous generation of gaming data. Such gaming data consists of gamer’s personal information along with the game genres played and the time spent by them on a particular game. This gaming data can be utilized by the gaming industry for the purpose of extracting the knowledge needed to monitor the stickiness of the games. The raw data related to computer games can be refined, which could provide game developers the number of the gamers attracted towards a particular game. If the count of the gamers for a specific game decreases as the time passes by, then game developers need to improve the game, in order to retain the gamers. As gaming industry adds to our country’s revenue to a great extent, certain technological advancements are required. Therefore, this study aims to use a data mining approach, i.e., clustering, for monitoring computer games stickiness.