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This looks like something that could be cool, though I'm having trouble finding a clear description of what it's really supposed to be.

In particular: What do the nodes and connections on the graph represent?

For example, once this project is complete, would this project contain nodes for "Hacker News" and "HTML"? If so, would they be directly connected, or if not, what would the shortest paths between them look like?

It'd be neat to see a concise, technical description that sketches the conceptual-framework and briefly the methods that implement it. For example, what's the top-level meta-model? And how does the particular form of the graph follow from it?

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EDIT: Read through a lot of online stuff trying to trace down the underlying theory...

This sounds like it's based in [structural equation modeling](https://en.wikipedia.org/wiki/Structural_equation_modeling ), with one comment hinting at influences from [Judea Pearl](https://en.wikipedia.org/wiki/Judea_Pearl ), e.g. as espoused in [their year-2000 book, "Causality: Models, Reasoning and Inference"](https://en.wikipedia.org/wiki/Causality_(book) ).

I'm having some trouble finding the technical details behind the ideas; critiques seem to commonly mention a lack of technical-depth in the underlying conceptual-framework.

It'd seem helpful to have a technical-description for folks who're well-versed in math, modeling, etc..



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