This prototype application was developed with colleagues from The Times to show how interactive visualization of the bookScraper collection may help us identify trends and anomalies in the data set. Doing so may give us ideas about the collection as we aim to explore the data and gain insights from it.
The application is designed to support analysis of the titles according to their content and the use of particularly important words and how this compares between authors. It is indicative of the kind of visualization work that we do at the giCentre.
Vocabulary Cluster Graph
Our interactive 'cluster graph' was designed to help compare the books in the collection based on the similarity of their vocabularies.
The more similar two publications are, the closer they appear to one another in the graph - groups of books with similar vocabularies cluster.
« Click the image to run the application.
Visualization developed by Dr. Jo Wood
with Dr. Jason Dykes, Dr. Aidan Slingsby, Jonathan Richards and Julian Burgess
You can learn more about processing, visualizing and using digital information through our Masters programmes and modules available through flexible modes of study.