Character Interaction Networks for George R. R. Martin's "A Song of Ice and Fire" saga
These networks were created by connecting two characters whenever their names (or nicknames) appeared within 15 words of one another in one of the books in "A Song of Ice and Fire." The edge weight corresponds to the number of interactions.
You can use this data to explore the dynamics of the Seven Kingdoms using network science techniques. For example, community detection finds coherent plotlines. Centrality measures uncover the multiple ways in which characters play important roles in the saga.
This is the data for the work presented here: https://networkofthrones.wordpress.com by Andrew Beveridge.
Analyze the network of characters in Game of Thrones and how it changes over the course of the books.
https://www.datacamp.com/projects/76
- Winter is Coming. Let's load the dataset ASAP
- Time for some Network of Thrones
- Populate the network with the DataFrame
- Finding the most important character in Game of Thrones
- Evolution of importance of characters over the books
- What's up with Stannis Baratheon?
- What does the Google PageRank algorithm tell us about Game of Thrones?
- Correlation between different measures
- Conclusion