Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode

doi:10.1109/TCSS.2021.3122260

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode
	Zheng, Xiaolong 2,3; Tian, Hu 2,3; Wan, Zhe 1; Wang, Xiao 2,3; Zeng, Daniel Dajun 2,3; Wang, Fei-Yue 2,3
刊名	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
	2021-11-08
页码	14
关键词	Social networking (online) Dictionaries Stock markets Investment Games Analytical models Market research Dynamic interaction network financial market GameStop short squeeze social network analysis
ISSN号	2329-924X
DOI	10.1109/TCSS.2021.3122260
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要	In January 2021, the users of subreddit r/wallstreetbets (WSB) triggered an unprecedented short squeeze by driving up GameStop's stock price to an unimaginable high point. During the event, a large number of users participated in the discussion about GameStop and coordinated trading behavior on r/WSB to push the stock price higher. In this article, we investigate the characteristics of the collective behaviors and social dynamics from the evolutions of topological structure, discussed topics, and user sentiment polarity (SP) by constructing dynamic interaction networks, modeling the topic, and analyzing the user sentiment. We find that the topological structure of the interaction network evolves toward a more efficient direction, the discussed topics change more centralized, and the user sentiment tends to be more positive and divergent. And we reveal that part of GameStop's stock price is explained by the social media activity, popularity of the dominant topic, topic cohesiveness, SP of users, and sentiment divergence between interacted users on r/WSB. Our work quantitatively characterizes the interaction networks and user behavior during the GameStop short squeeze and provides an example to analyze the event which synchronously evolves in the physical space and cyberspace. It not only contributes to the analysis of social system behavior and structure but also provides valuable insights into the financial practice and policy decision-making.
资助项目	Ministry of Science and Technology of China[2020AAA0108401] ; Natural Science Foundation of China[71602184] ; Natural Science Foundation of China[71621002]
WOS关键词	INVESTOR SENTIMENT ; MEDIA ; SPACE ; POWER
WOS研究方向	Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000732412900001
资助机构	Ministry of Science and Technology of China ; Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46884]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Fei-Yue
作者单位	1.Beijing Normal Univ, Belt & Rd Sch, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zheng, Xiaolong,Tian, Hu,Wan, Zhe,et al. Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:14.
APA	Zheng, Xiaolong,Tian, Hu,Wan, Zhe,Wang, Xiao,Zeng, Daniel Dajun,&Wang, Fei-Yue.(2021).Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,14.
MLA	Zheng, Xiaolong,et al."Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):14.