CSE 316a – Social Network Analysis

This course looks at social networks and markets through the eyes of a computer scientist. We will look at questions including, “Why are acquaintances rather than friends more likely to get us job opportunities?” and, “Why do the rich get richer?” We begin by studying graph theory allowing us to study the structure and interactions of social networks  at the introductory level. Among other topics, we will study matching problems, epidemics, and the structure of the internet (including web searches). This course examines the intersection of computer science, economics, sociology, and applied mathematics.

Check the Roadmap for more detailed information.

Prerequisites: CSE 247, ESE 326, and programming experience (we will do some case studies using Python)

Should I take this class?

The content of this class is based on the following sources:

Instructor: Marion Neumann
Office: Jolley Hall Room 222
Office Hours: WED 11am-12pm (or individual appointment* – avoid drop ins w/o appointment)

*request individual appointments via email and allow for 2-3 days reply and scheduling time

TA Office Hours:

  • conceptual: TUE 5:45-7:45pm in Jolley 224 by Benjamin Choi
  • git, eclipse: THU 2-3pm in Jolley 431 by Nate Jarvis

Lectures: TUE/THU 10-11:30am in Lab Sciences / 250

Piazza: Please ask any questions related to the course materials and homework problems on Piazza. Other students might have the same questions or are able to provide a quick answer. Any postings of (partial) solutions to problems (written or in form of source or pseudo code) will result in a grade of zero for that particular problem for ALL students. Sign-up using your wustl email address here: piazza.com/wustl/fall2017/cse316a



Course Calendar and Reading

Homework Assignments

Grades on BB

Resources and HowTos