What does a University look like?
Simon Porter1 1Digital Science
Abstract
What does a University look like? By modelling data from Dimensions into a 3D visualization tool called Blender, we present a new way of exploring university research collaboration diagrams in a consistent format.
To create the university networks we use Dimensions to extract a coauthorship network based on university affiliation. The network is then given shape using the BatchLayout algorithm.
To add colour, we’ve used the 2020 Field of Research (FoR) codes, to represent research discipline, and we’ve designated a color to each one of those codes. Each single point of color represents an individual researcher coded by the 2-digit FoR they’re most associated with; researchers are depicted by a sphere, and the size of the sphere is based on the number of publications that researcher has produced.
To add depth, we then apply algorithms developed by CWTS at Leiden University to determine research clusters – co-authorship networks – within a specific university. These clusters are then layered on top of each other by discipline, with Clinical Science clusters at the bottom, then moving up through Health Sciences, then Science and Engineering, and Linguistics at the top.
In this ePoster we present 6 different animated University models. Consistent layouts and perspectives help the viewer compare similarities and differences across institutions.
Biography
Simon Porter has forged a career transforming university practices in how data about research is used, both from administrative and eResearch perspectives. As well as making key contributions to research information visualization, he is well known for his advocacy of Research Profiling Systems and their capability to create new opportunities for researchers.