Social Networks

Collaboration metrics from the UF network data, and their evolution

We used publicly available data on UF publications and grants to extract networks of collaborations among UF researchers in 2008-2012. This allowed us to define network metrics on collaboration, which can be used to evaluate and monitor the activity of specific research institutes. As an example, we apply some of these collaboration metrics to the UF Clinical and Translational Science Institute.

Part I: Combining networks from publication and grant activity

Collaborations on publications and grants among UF researchers generate two different social networks. Their union gives us the most accurate and comprehensive picture of the UF scientific network available in the data. In the "union" network, relations can represent collaborations on a grant, a publication, or both. The position of specific actors, such as patent authors, and the relations among them, can be highlighted in the network.

Part II: Collaboration metrics based on network-level measures of cohesion

Measures of network cohesion and distance show that the UF scientific network became more cohesive, that is, the overall tendency to scientific collaboration increased in the university over 2008-2012. During the same years, the CTSI came to cover an increasingly large part of the UF network, and distances between UF scientists became gradually lower.

Part III: Collaboration metrics based on node-level measures of centrality

Different metrics can be used to assess the centrality of researchers in the UF scientific community. Degree centrality is the number of collaborators a researcher has, that is, his degree of connectedness to the network. Betweenness centrality is a measure of brokerage, as it quantifies the extent to which a researcher falls on the network paths between other researchers, and is a bridge between separate areas of the network. Closeness centrality measures the extent to which a scientist is close to every other actor, and can easily reach to the rest of the network.

Part IV: Collaboration metrics based on diversity of actor attributes

In our scientific networks, the neighborhood of a researcher is the set of all his collaborators in a year. Thus, the degree of department, college or discipline diversity in a researcher's neighborhood measures the extent to which that researcher engages in interdisciplinary research. CTSI researchers show a higher neighborhood diversity on average over 2008-2012, which means that the CTSI has functioned as a hub for interdisciplinary research at UF in the last years.