Inside the Voynich Network: graph analysis

[quimqu]

PCA2 captures how robust or centralized the graph is.
I have problems with imagining it. Quimqu, are you able to give as example a sample of text which is robust and which isn't. Or does such feature emerge only for big texts?

Hi Rafal,

a centralized (fragilegraph) text would be: "The man and the woman went to the city. The child and the dog walked in the city. The workers and the farmers live in the city.". Why fragile? The words "the", "and" and "city" appear in every sentence, thus they act as hubs in the graph. If we remove them, all other words stop being connected to one another. The graph is centralized and not robust (PCA2 low). Languages like English, French, German and Spanish are so.

A robust text (unoform graph) would be "Mountains surround the valley. Rivers carve paths through hills. Forests shelter animals and rivers. Hills border mountains that form valleys.". There is no single connector that appears everywhere. Many words link to multiple clusters. Removing words don't collapse the graph as most words remain connected. This is what happens in Mandarin (logic as a Chinese character means multiple words) and Hebrew (less than in Chinese).

And going back to Voynich Manuscript... How would you say, what is VM position on PCA1 and PCA2?

Well, graphs depend on text length, thematic, style, language, etc. I'd rather don't put the Voynich with the Pentateuch language comparison. But you can see how the MS behaves compared with simmilar corpus (in length) and different languages in this You are not allowed to view links. Register or Login to view.