Date: May 18–20
Time: 9:00 a.m.–4:00 p.m.
Location: Meyer library 10-B
Individuals are often influenced by their friends, coworkers, family members, and others with whom they come in contact. Yet most statistical modeling approaches rely on an assumption of independence requiring researchers to ignore such influence (or violate the assumption). Social network analysis (SNA) is a statistical tool for examining human behavior that accounts for interdependencies in the data, allowing researchers to explicitly model the influence individuals have on each other.
In this workshop, participants will learn how to use SNA to answer their research questions and will get hands-on practice using R software to visualized and model social network data. Data will be provided. Participants must bring their own laptop computer.
Coffee and lunch will be provided. More details to come soon.