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  4. Towards Retention Analysis in NFT-based Blockchain Games
 
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2023
Conference Paper
Title

Towards Retention Analysis in NFT-based Blockchain Games

Abstract
In this work, we investigate the player behavior of an NFT-based blockchain game from a perspective of attrition with the goal of providing insights as to how players interact with the game over a long period of time and establishing potential avenues for future research in building prediction models. To this end, we analyze the retention behavior over time and profile the players to gain insights about how they interact with the game.
Author(s)
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Hadiji, Fabian  
Mainwork
IEEE International Conference on Big Data 2023. Proceedings  
Project(s)
The Lamarr Institute for Machine Learning and Artificial Intelligence  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
International Conference on Big Data 2023  
DOI
10.1109/BigData59044.2023.10386350
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • Blockchain Games

  • Game Analytics

  • Player Profiling

  • Retention Analysis

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