Towards Retention Analysis in NFT-based Blockchain Games
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.
- Published in:
2023 IEEE International Conference on Big Data (BigData) - Type:
Inproceedings - Authors:
Sifa, Rafet; Hadiji, Fabian - Year:
2023 - Source:
https://ieeexplore.ieee.org/abstract/document/10386350
Citation information
Sifa, Rafet; Hadiji, Fabian: Towards Retention Analysis in NFT-based Blockchain Games, 2023 IEEE International Conference on Big Data (BigData), 2023, https://ieeexplore.ieee.org/abstract/document/10386350, Sifa.Hadiji.2023a,
@Inproceedings{Sifa.Hadiji.2023a,
author={Sifa, Rafet; Hadiji, Fabian},
title={Towards Retention Analysis in NFT-based Blockchain Games},
booktitle={2023 IEEE International Conference on Big Data (BigData)},
url={https://ieeexplore.ieee.org/abstract/document/10386350},
year={2023},
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...}}
