A social network is a set of actors and the relations among them. Defining actors as researchers at UF, and relations as professional collaborations between researchers, we can use publicly availble data on publications and grants to visualize the social network of scientific collaborations at UF over the years. This reveals the structure of UF scientific community, and its interaction with formal organizations and institutional boundaries like departments, institutes and academic units.
Once we have network data on the UF scientific community, we can use SNA to visualize and analyze specific kinds of collaboration (e.g. publications vs grants); the position and centrality of particular departments, centers or institutes within UF's scientific network; individual characteristics of UF researchers, be they network properties (e.g. actor centrality) or non-network attributes (e.g. researcher's number of publications); the evolution of the UF scientific network over the years.