- Location
- Virtual over Zoom
- Series/Type
- Biostatistics Seminar, DLSPH Event
- Dates
- January 25, 2022 from 3:00pm to 4:00pm
The Biostatistics Seminar Series presents:
“Social Network Analysis, An Application to Demarcating Latent Structure of Administrative Health Data with Two Types of Actors” by Tyler Pittman, Princess Margaret Cancer Centre
Abstract: A good research question should determine what type of analysis is conducted and guide study objectives. However, many quantitative methods fail to account for pathways and perspectives among study subjects. Social network analysis (SNA) is a tool that enables the mapping and exposure of information sharing, and has been used to show collaboration in health care settings. With regard to social networks, two perspectives exist. The first vantage is the ego-centric approach, which focuses on the network ties of a specific actor. The second is the socio-centric approach, which comprises all ties between actors in a given ecosystem. When utilizing a socio-centric approach, the behavior of large network structures, such as super-organization consisting of dyads, or connections between individual actors, can be discerned. Of particular interest is a bipartite network, which is a graph of two actor types (such as patient and physician) that may be nested. Actors serving as brokers can be identified through centrality measures utilizing distance. Case studies of application are explored.
For T. Pittman’s Biosketch, please see www.biostatspm.com/people/#comp-kbs0bqhb
Register in advance for this seminar via https://phesc.zoom.us/meeting/register/tZcqcuCurjIuE92javWoug8WSqgkVIpqwtw9