This course introduces students to the theories and research methodologies of social network analysis (SNA) and the anthropological study of social media. SNA is the study of patterns of connections between things (people, ideas, etc.), an analytical method that is especially suited to understanding social media and the impact of information technology on society. Because of advancements in information and communication technology, everyday social life is shaped by social media, the internet, and other methods of virtually connecting. Throughout the semester, students will learn how to analyze social networks using R, an open-source language and environment for statistical computing. Emphasis is placed on developing the critical and methodological skills needed for doing fieldwork virtually, but no previous computer programming is expected or required.
The course is taught by Fuji Lozada, and meets MWF 9:30-10:20 at Chambers 1027.