Textual Spanning (with Marshall A. Taylor)

We propose a measure of textual spanning which increases when a document is similar to documents which are not also similar to each other (and vice versa). This measure is particularly well-suited for the unique properties of text networks built from document similarity matrices when considered as dense weighted graphs. The R-based package, textSpan, is currently under development in collaboration with Marshall A. Taylor.
 
textSpan_Stoltz_Taylor_2018.png