Network Science Predicts Who Dies Next in Game of Thrones

TL;DR

This paper combines social network analysis and machine learning to predict which key characters in Game of Thrones are likely to die, demonstrating the application of network science in entertainment analytics.

Contribution

It introduces a novel approach integrating network science and predictive modeling to forecast character deaths in a popular TV series.

Findings

Successful prediction of character deaths using network features

Demonstrates the applicability of network analysis in entertainment prediction tasks

Media attention highlights the novelty of the approach

Abstract

Social network analysis and machine learning have found countless applications in recent years. As an example, this short project was carried out in 2017 and was followed by some media attention, with the following goal: to bring network science and predictive modeling together on the subject of the popular TV and book series, Game of Thrones, and predict which key characters are likely to meet their ends.