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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