Hi @mathbeveridge thanks for the contribution and I'm learning a lot using the https://github.com/neo4j-contrib/neovis.js/

I trying to use this to my use case here and I'm struggle on how to calculate weight between the nodes.

How did you do it?

Thanks

The books 4 and 5 are together in a single file. Is there a reason for that (except for being a split book with 2k pages)?

And the book column just contains "4"?

Was seeing that e.g. Ramsay is in the data as Ramsay-Snow not Ramsay-Bolton.

So it would be good to have the aliases to search across them too.

Thank you for your amazing work here! After reading your analysis, I got some little questions:

Is the result of community detection based on facts or algorithm?
- If it's based on the algorithm, what algorithm did you choose?
- If it's based on the facts, can you add community attributes to the nodes file?

Thank you very much, look forward to your reply.

Hello there,

Thanks a lot for assembling this data set!

I realize that it is quite old but I'm hoping that you might be interested in furthering the re-use in two quick steps:

• Adding a license, such as CC0 or similar, is quite essential.
• You can integrate Zenodo with your GitHub repository with a few clicks. That would allow you to upload your data there and receive a citable DOI.

Thanks a lot for your consideration.