A ranking model predicts who dies next in 'Game of Thrones'

‘Tyene Sand, Daenerys most likely to perish in final 2 seasons’

FILE - This file image released by HBO shows Kit Harington in a scene from "Game of Thrones." Even in a world with magic, dragons and deadly supernatural White Walkers, HBO’s popular show has plenty of economic lessons to teach. (Helen Sloan/HBO via AP, File)

Tyene Sand and Daenerys Targaryen are most likely to die in the final two seasons of the popular TV series Game of Thrones , scientists have predicted using a mathematical model.

Researchers came up with a ranking model for the characters based on how likely they are to die.

“I am probably not alone in wondering which of my favourite characters are going to meet their ends, and which will live on to the next season,” said Milan Janosov, Ph.D. candidate at Central European University in Hungary.

The model finds the probabilities of each living well-known character passing away. Mr. Janosov ranked the characters in increasing order of survival according to the final prediction model.

According to the calculations, Tyene Sand — the illegitimate daughter of Prince Oberyn Martell — is most likely to die, followed by Daenerys Targaryen — who is hoping to win the Iron Throne.

Tyrion, Jon Snow safe

Grey Worm, commander of Daenerys’s Unsullied army, ranks third on the list of characters most likely to die next. Tyrion Lannister and Jon Snow seem to be relatively safe.

Arya Stark and the Hound, already so close to death many times before, are both in dangerous positions. Cersei, currently sitting on the Iron Throne, and Petyr Baelish, who is doing his best to get there, seem to be in a much better position.

It seems Jorah Mormont will find the cure for his greyscale disease, and despite all he has been through, Theon Greyjoy will probably survive.

“ Game of Thrones is a complex world in which social position and true friends seem to be quite important, so I quantified each character’s social interaction patterns using the tools of network science,” Mr. Janosov.

“I then predict their fate using machine learning methods,” he said.

Researchers used the show’s subtitles, collected in dialogue format. They constructed the aggregated network of the realm’s social system.