Textual Spanning (with Dustin S. Stoltz)
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 detailing textual spanning, “Textual Spanning: Finding Discursive Holes in Text Networks,” is published in Socius. The reproduction repository for the paper can be found here.