[Article] A possible generating algorithm of the Voynich manuscript

[Torsten]

This is not what I meant. The network plots show the end result (or in fact the starting point), but I am interested in the process.

The process is explained in chapter 3. Text generation: "... the generation of a token from an existing word pool is a two-step process: select a source word and modify it, following specific rules ..."

See also the examples given in my last two posts:
For instance <chedy> is introduced on page f32r. The word before <chedy> is <tchey>. To introduce <chedy> it was only necessary to repeat <chey> and to ad a <d> before <y>. Just click on the link to page You are not allowed to view links. Register or Login to view..

For instance the word <daiiny> occurs only You are not allowed to view links. Register or Login to view.. On first sight it seems unclear if it is a misspelled variant of the more common word <daiin> or a new word. 

Another example is the use of the  <m>-glyph on page You are not allowed to view links. Register or Login to view.. If you search for new words on page You are not allowed to view links. Register or Login to view. you will find for instance the words <sheoldam>, <tsheoarom> and <pcheoldom>. This three words are similar to each other and they occur only once within the VMS. Moreover <tsheoarom> and <pcheoldom> are used as paragraph initial words. There are only seven paragraph initial words using a final <m>-glyph in the whole VMS. This is the way new words occur within the VMS.

We don't know if the text of the Voynich MS was based on some source text or is meaningless, but we know for sure that it was 'generated' some 600 years ago. This applies either way. It may have been generated using some random process or it may have been generated by manipulating a text.

Your various papers suggest that we will learn what was the process, but while this is described vaguely (taking recent previous words, and modifying them)

This is a concrete description: Use your eyes to select a token or parts of tokens and modify them. It's just as simple as that. 

, the evidence that this happened is not there.

The evidence is that this simply method is all you need to explain the VMS. See chapter 2: "...  not only frequency and similarity of tokens are correlated, but also similarity and relative position". 

See also You are not allowed to view links. Register or Login to view. chapter 7. "The text generation method"

See also section You are not allowed to view links. Register or Login to view. "Graphs for individual pages" on "You are not allowed to view links. Register or Login to view.". You can convince yourself that always tokens with high structural similarity appear preferably in close vicinity of each other. Just click on the links to voynichese.com in section You are not allowed to view links. Register or Login to view..

The network graph does not show the process.

The reference to the network graph was the answer to your question "which percentage of words is a modification with edit distance 1 of a recent word, for different definitions of 'recent'."