Social Networks and Data Science

Undergraduate

Social networks have become crucial components of our current society. Increasingly, social scientists are using tools of data science to understand how social networks influence social phenomena, such as how social media networks affect protest participation, how friendship networks influence bullying, or how community networks shape health behavior. In this course, we use some of the core concepts in network science to understand a broad range of social phenomena, including concepts such as social contagion, social norms, or status competition. Through this course, students gain an understanding of the fundamental principles of network science, as well as practice data science tools in social network analysis. Prerequisites: S&DS 100, S&DS 123. Familiarity with R is the most basic eligibility requirement. QR , SO Th 9:25am-11:20am