From the Fundamental Theory of Information Propagation to FinTech: New Developments in Research on Online User Dynamics

Key Points

• The study aims to formulate a theory of online user interactions and verify its practical applications in finance.
• Formulated a theoretical framework based on locality and causality.
• Used online data to confirm predicted phenomena.
• Implemented early detection of company news for investment support.
• Predictions based on the theory correlated with actual online data.
• Investment simulation using early detection led to high performance in stock trading.
• The technology has potential applications in trend forecasting and public safety.

Abstract