When adding a new node (table) to an existing TC network, we look for: (a) a limited set of key words (from our accumulated lexicon), (b) in a limited set of allied locations. These two limitations are formidable hurdles that the table must pass. This strengthens the significance of the resulting network.

The lexicon is formed by collecting reinforced key words found in tables of the network (these key words are repeated and/or they occur with statistically rare appearances).

Each new node reinforces the previous nodes of the network and vice-versa.

Monkey texts - we have yet to find even a partial example of a statistically meaningful network in a monkey text. This is because such networks "die out" before they even get started - i.e. we do not even find strong starting tables in such texts, let alone reinforcing links between such tables.