Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode
Zheng, Xiaolong1,2; Tian, Hu1,2; Wan, Zhe3; Wang, Xiao1,2; Zeng, Daniel Dajun1,2; Wang, Fei-Yue1,2
Source PublicationIEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN2329-924X
2021-11-08
Pages14
Corresponding AuthorWang, Fei-Yue(feiyue.wang@ia.ac.cn)
AbstractIn 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.
KeywordSocial networking (online) Dictionaries Stock markets Investment Games Analytical models Market research Dynamic interaction network financial market GameStop short squeeze social network analysis
DOI10.1109/TCSS.2021.3122260
WOS KeywordINVESTOR SENTIMENT ; MEDIA ; SPACE ; POWER
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of China[2020AAA0108401] ; Natural Science Foundation of China[71602184] ; Natural Science Foundation of China[71621002]
Funding OrganizationMinistry of Science and Technology of China ; Natural Science Foundation of China
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000732412900001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/46885
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorWang, Fei-Yue
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
3.Beijing Normal Univ, Belt & Rd Sch, Beijing 100875, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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