Show HN: How can narratology and NLP benefit from topological data analysis?

I am a soon to be computational narratology PhD student. I decided to take it upon myself to try to increase public awareness of narratology (Its a cool field, more people should know about it!)

As such, I decided to start a blog series about formally analyzing plot holes and showing how these plot holes become apparent in the topological features of an embedded narrative. This directly correlates with my PhD thesis (creating a DNN to automatically detect plot holes in narratives, and suggest ways to fix them) so I thought I'd be a prime candidate for writing a blog about it!

Rebuttals are more than welcome btw! I will happily write a follow up piece :)

Somewhat related, in support of topological algebras in matters of complex situations, Nicholas Rashevsky published a paper "Topology and Life..." same year Watson and Crick went public with the DNA story. Rashevsky was already known for the invention of mathematical biology; what he proposed then is Relational Biology, looking for the mathematics of organisms. Robert Rosen followed him by introducing category theory, showing the mathematics of an organism with a commutative diagram.