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 Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence, DTPI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-297
Number of pages4
ISBN (Electronic)9781665433372
DOIs
StatePublished - Jul 15 2021
Externally publishedYes
Event1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021 - Beijing, China
Duration: Jul 15 2021Aug 15 2021

Publication series

NameProceedings 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence, DTPI 2021

Conference

Conference1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021
Country/TerritoryChina
CityBeijing
Period7/15/218/15/21

Keywords

  • Causality
  • Cryptocurrency
  • Gamestop

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Control and Optimization
  • Modeling and Simulation

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