Fall 2021

INF 385T Special Topics in Information Science : Human-Centered Social Network Analysis

Unique ID: 28834


10:30 AM - 12:00 PM  PAR 306

meets with undergraduate Informatics 320D.
Note: Students may be required to bring their own laptop to this class.

In Person


Provides students with an understanding of the fundamental concepts, common methods, and analytical tools of social network analysis. Students will gain experience applying both exploratory and qualitative methods to real-world problems within the social network domain.


Graduate standing.

Prior programming experience in Python is strongly recommended to succeed in this class.


Restricted to graduate students in the School of Information.