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 paper “Textual Spanning: Finding Discursive Holes in Text Networks” is forthcoming in Socius.
You can check out the reproduction materials, including the code for the function at: github.com/dustinstoltz/textual_spanning_socius. R-based package,
textSpan, is currently under development in collaboration with Marshall A. Taylor.