SOAN 265 - Exploring Social Networks

FDR: SS4 Social Science - Group 4 Distribution
Credits: 3

This course will be a hybrid seminar/research lab that covers some of the most important findings and methods in the study of social networks (SNA), with a focus on analyzing sociocentric data (i.e., data about a whole network, as opposed to data about people’s personal networks, about which I teach a different course), with an emphasis on the application of network methods to the study of social inequalities. In the lab portion of the class, we will learn how to do network analysis in R, covering topics like (a) basic network descriptive statistics; (b) visualization of networks; and (c) community detection and the identification of subgroups and roles in network data, along with other tools and ideas.