A Peek at Metaverse Society from Web 3.0 Games: A Preliminary Case Study of Dark Forest

被引:1
|
作者
Lin, Zexin [1 ,2 ]
Yao, Nanjun [1 ,2 ]
Wu, Xiao [3 ]
Wang, Lin [1 ]
机构
[1] Guangzhou Acad Fine Arts, Guangzhou, Peoples R China
[2] Chinese Univ Hong Kong, Shenzhen, Peoples R China
[3] White Matrix Inc, Nanjing, Peoples R China
来源
2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP) | 2022年
关键词
Metaverse; Blockchain; Web; 3.0; Game; Social Study;
D O I
10.1109/MMSP55362.2022.9949551
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The notion of metaverse powered by blockchain technology has been buzzing in recent years, raising expectations for an advanced social vision of Web 3.0. Thus far, online multiplayer games are considered to be the sole counterparts of the full-state metaverse, and their in-game group behavior becomes a microscopic sample for estimating social dynamics in metaverse. In this paper, we select massive data from Dark Forest relating to players' behavior to explore how and to what extent the web 3.0 game simulates the social system. By analyzing and clustering the time series of players' behavior, We reveal the consistency of behavioral habits both inside and outside of the simulated gaming system; suggest that games based on blockchain technology have the advantage of digitally representing reality, and therefore constitute a key venue for future social practice.
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页数:6
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