# Position-sensitive propagation of information on social media using social physics approach

## TL;DR

This paper introduces a position-sensitive analysis method for social media tweets related to terrorist attacks, extending the hit phenomenon model to account for spatial tweet distribution and providing insights into information propagation based on location.

## Contribution

It proposes a novel approach to analyze spatially sensitive tweets using an extended mathematical model of the hit phenomenon, focusing on terrorist attack incidents.

## Key findings

- Measured position-sensitive tweet distributions
- Extended the hit phenomenon model for spatial analysis
- Provided a theoretical explanation for spatial tweet patterns

## Abstract

The excitement and convergence of tweets on specific topics are well studied. However, by utilizing the position information of Tweet, it is also possible to analyze the position-sensitive tweet. In this research, we focus on bomb terrorist attacks and propose a method for separately analyzing the number of tweets at the place where the incident occurred, nearby, and far. We made measurements of position-sensitive tweets and suggested a theory to explain it. This theory is an extension of the mathematical model of the hit phenomenon.