DCAS 5331 - Social Media Analytics

3 hours

Explores the social or human dimensions of social media with respect to analyzing human behavior. Students study social network analysis (SNA), including factors such as influence and centrality information diffusion, and social contagion including why certain content “goes viral.” Students investigate actual content communicated through use of topic modeling and sentiment analysis. Languages such as Python and R and programs such as Gephi and Excel are learned to help analyze social media data.

Prerequisite(s): Admission to the MS with a major in digital communication analytics or consent of school.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $20