中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 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

文献类型：期刊论文

作者Zheng, Xiaolong1,2; Tian, Hu1,2; Wan, Zhe3; Wang, Xiao1,2; Zeng, Daniel Dajun1,2; Wang, Fei-Yue1,2
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期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
DOI10.1109/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.
WOS关键词INVESTOR SENTIMENT ; MEDIA ; SPACE ; POWER
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研究方向Computer Science
语种英语
WOS记录号WOS:000732412900001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Ministry of Science and Technology of China ; Natural Science Foundation of China
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
自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者Wang, Fei-Yue
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Beijing Normal Univ, Belt & Rd Sch, Beijing 100875, 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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。