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.