Explore the collection through the TextPlot and WORDij visualizations below. Both graphs were visualized using Gephi, and are embedded here via Neatline.
This graph was generated by a program called TextPlot, which computes a probability density function for each term in a body of text to group terms according to their distribution across the document. It also computes something called a Bray-Curtis dissimilarity for each term, which is used to measure the collocation of two terms.
For more information, including a much better explanation of how TextPlot works, check out the project page.
WordIJ is similar to TextPlot in that it creates semantic networks of texts, but uses different computations and therefore generates different results. In this visualization, a node’s degree determines the color of its edges, with higher degrees producing “hotter” (redder) edges.
For more information, including a much better explanation of how WORDij works, check out the project page.