[Article] Does network complexity help organize Babel’s library?

[MarcoP]

Thanks, Marco. I had not yet looked at the paper but the results do look interesting. I don't quite understand what makes the VM stand out like this though. What does "higher C" imply?

They say that the higher "mean clustering" C values of the non-scrambled texts denote "high transitivity of word connections".
If I understand correctly, two words are connected if they appear next to each other (W1.W2, or W2.W1). C measures how often, when W1 is connected with both W2 and W3, also W2 and W3 are connected (this would result in a closed triangle in the network).
From Table 1, I also get the impression that the value of C depends on the length of the text, with longer texts averagely resulting in higher C - it would probably be better to use texts of similar length. I wonder why their Voynich sample only has 1997 different word types....

From the network in Fig.2, I understand that they build networks on the basis of punctuation. That network is based on this text:

"en un lugar de la mancha, de cuyo nombre no quiero acordarme, no ha mucho tiempo que vivı́a un hidalgo de los de lanza en astillero"

'acordarme' and 'mancha' are only connected with the preceding word: I guess this is because they are followed by a comma. If their method depends on punctuation, it is no wonder that the VMS behaves differently...