Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop | |
Gang Zhou; Rongrong Jing; Xiaolong Zheng; Xingwei Zhang; Hu Tian; Daniel Dajun Zeng | |
2021-09 | |
会议日期 | 2021-07-15 _ 2021-08-15 |
会议地点 | Beijing, China |
英文摘要 | A war between individual investors and Wall Street institutions that occurred in January 2021 has attracted attention worldwide. There were many participants in this event, and the causality behind that was also complex. Due to the COVID-19, people work from home, so social media has become the main battlefield of GameStop events, especially Reddit's subreddit: r/WallStreetBets (“WSB” for short). Analyzing the causal interaction in social media helps people gain a more comprehensive and profound understanding of this online Wall Street movement. We use the WSB data set to construct causal networks and demonstrate the evolution of causality between GameStop stock price and WSB Redditors sentiment. We further analyzed the causality between GameStop stock price, WSB, and cryptocurrency. The discovery convinced us that Redditor in WSB did dominate and promote this movement and extended the battle to cryptocurrency market. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48813] |
专题 | 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 |
作者单位 | 1.University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Gang Zhou,Rongrong Jing,Xiaolong Zheng,et al. Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop[C]. 见:. Beijing, China. 2021-07-15 _ 2021-08-15. |
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