• Corpus ID: 239024366

Network Science Predicts Who Dies Next in Game of Thrones

  title={Network Science Predicts Who Dies Next in Game of Thrones},
  author={Mil{\'a}n Janosov},
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 significant 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. 

Figures from this paper

A Link Analysis Based Approach to Predict Character Death in Game of Thrones

A Death-Prone Score model is proposed to predict if the candidate character is going to die or stay alive in the upcoming book in the series of “Game of Thrones” and generates a death-prone score for each character.

A Network Map of The Witcher

TheWitcher, a fantasy novel series by Andrzej Sapkowski, has inspiredmultiple computer games andwas even launchedonNetflix in 2019,with the latest seasonairing inDecember 2021. Fictional storylines

Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I met Your Mother, and The Big Bang Theory

Four situation comedies that share a lot in common since their characters are friends living in similar, urban, environments, struggling with their daily lives, careers, and so on are compared, showing that their structures and the roles of the core characters are fundamentally different.

I will be there for you: clique, character centrality, and community detection in Friends

  • A. Bazzan
  • Computer Science
    Comput. Appl. Math.
  • 2020
Analyzing the relationships of characters in Friends, a famous sitcom, finds that there are strong indications that the six friends are part of a surrogate family, and that those methods for community detection do not always agree, resulting in groups that are very different from method to method.

Extraction and Analysis of Fictional Character Networks

This survey aims at presenting and organizing the scientific literature related to the extraction of character networks from works of fiction, as well as their analysis, and identifies the limitations of the existing approaches and the most promising perspectives.

Extraction and Analysis of Fictional Character Networks: A Survey

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and

The one comparing narrative social network extraction techniques

This work model and compare three extraction methods for social networks in narratives: manual extraction, co-occurrence automated extraction and automated extraction using machine learning, and provides evidence that automatically-extracted social networks are reliable for many analyses.

Testbeds and Research Infrastructures for the Development of Networks and Communications: 14th EAI International Conference, TridentCom 2019, Changsha, China, December 7-8, 2019, Proceedings

There are little to no improvements in terms of classifier evaluation metrics when trained using the optimal subsets from each method as compared to using the original dataset, showing the ineffectiveness of feature selection on the lowdimensional Pima Indians Diabetes dataset.



Machine learning with Python

This presentation is a case study taken from the travel and holiday industry and describes the effectiveness of various techniques as well as the performance of Python-based libraries such as Python Data Analysis Library (Pandas), and Scikit-learn (built on NumPy, SciPy and matplotlib).

Scikit-learn: Machine Learning in Python

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing

Game of Thrones' network model to predict character deaths

  • 2017

A Researcher Just Made an Algorithm to Predict Which Game of Thrones Characters Will Die

  • 2017

There's an algorithm that (rather accurately) predicts the death of your favourite Game of Thrones characters

  • 2017

Game of Thrones'? This computer program has an answer

  • Economic Times
  • 2017

Game of Thrones’: This computer model predicts who will be killed off— or survive

  • MarketWatch
  • 2017

Network Science Predicts Who Dies Next in Game of Thrones

  • 2017

Game of Thrones: Prediction 2.0

  • 2017

Genius portal - collection of movie show subtitles