Association rules in mobile game operation
Muning Chang
International Journal of Data Mining, Modelling and Management, 2021, vol. 13, issue 3, 254-267
Abstract:
Mobile games are now playing a significant role in the gaming industry as the internet continues to develop. Due to the economic and cultural value of mobile games, it is very importance for the gaming companies to maintain and further improve the product quality to remain competitive in the industry. The operation team plays the key points to maintain product profitability after issuing the games. This paper will analyse the gaming data collected during operation and propose operation strategies accordingly. A correlation coefficient algorithm suitable for time sequences is proposed, the association is defined by the similarity between data. The level of association between two-time sequences is reflected in the probability of the occurrence of such association. Based on the discovery, we can analyse the next popular mobile game in depth to explore the correlation between the number of users online, the number of new players, and the retention rate. The study found that there are two fatigue periods, at approximately day 30 and 120 when there is a high likelihood for user loss, which is important to consider in the strategic planning for the game operation.
Keywords: mobile games; association rules; sequence correlation; operation optimisation. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=118023 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:13:y:2021:i:3:p:254-267
Access Statistics for this article
More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().