An increasing number of investigators at the University of Florida are interested in visualizing and analyzing the network of scientific collaborations in UF departments, colleges, or research institutes. This application generates a report on scientific collaboration networks in any given group of individuals in the university. A scientific collaboration is defined as co-authoring one or more publications or participating to one or more grants together in a given year. The report shows the position of the group in the UF network, and provides visualizations and metrics about collaborations within the group, and between the group and the rest of UF.
This application uses Social Network Analysis visualization tools and metrics to answer questions such as: How much do this group’s members collaborate with each other? How much do they collaborate with the rest of UF? What colleges or departments do they work the most with? Who are the group members who interact the most with the whole group? Who are the brokers between the group and the rest of the university?
We use data about UF publications and grants as collected and kindly provided by UF VIVO and the UF Division of Sponsored Programs. This project is supported by the UF Clinical and Translational Science Institute and by the UF Bureau of Economic and Business Research. The application’s core code in in R igraph, wrapped in a Python script.
