1. A computer implemented method of characterizing a textual corpus state comprising: selecting a set of initial text publishers comprising at least one text publisher; defining a textual corpus comprising at least one textual output from a text publisher of the selected set of initial publishers; deriving a characterized textual corpus state comprising: a set of word characterizations; each word characterization comprising: a word and; an associated word frequency of occurrence value within the defined textual corpus; and a set of word pair characterizations; each word pair characterization comprising: a word pair, each word of the word pair being a member of the set of word characterizations, and; a first associated word pair frequency of co-occurrence value within a first defined text length of the defined textual corpus; generating a matrix comprising: a plurality of main diagonal terms each of the main diagonal terms comprising a keyword frequency value; and at least one off-diagonal term comprising a co-occurrence frequency value; and generating a digraph having a node for each main diagonal term and an arc for the at least one off-diagonal term, wherein the each nodal diameter is a function of the keyword frequency value.
1. A computer implemented method of characterizing a textual corpus state comprising: selecting a set of initial text publishers comprising at least one text publisher; defining a textual corpus comprising at least one textual output from a text publisher of the selected set of initial publishers; deriving a characterized textual corpus state comprising: a set of word characterizations; each word characterization comprising: a word and; an associated word frequency of occurrence value within the defined textual corpus; and a set of word pair characterizations; each word pair characterization comprising: a word pair, each word of the word pair being a member of the set of word characterizations, and; a first associated word pair frequency of co-occurrence value within a first defined text length of the defined textual corpus; generating a matrix comprising: a plurality of main diagonal terms each of the main diagonal terms comprising a keyword frequency value; and at least one off-diagonal term comprising a co-occurrence frequency value; and generating a digraph having a node for each main diagonal term and an arc for the at least one off-diagonal term, wherein the each nodal diameter is a function of the keyword frequency value. 6. The method of claim 1 further comprising after the step of selecting a set of initial text publishers comprising at least one text publisher: transmitting a test textual input to the selected set of initial text publishers; sampling output of at least one of the initial text publishers of the selected set of initial text publishers; sampling output of a set of second tier text publishers; differencing the state of the test textual input and the state of the output of the initial text publishers and deriving a fidelity index; differencing the sampled output state of the initial text publishers and the state of the second tier publishers and deriving a propagation index; and eliminating from the set of initial text publishers at least one initial text publisher based on at least one of: the associated fidelity index and the associated propagation index.