Grad course, taught in Fall 2012-2016, Spring 2014, 2015, 2017, 2018 at UIUC, iSchool by Jana Diesner
We meet Fridays 1-3.50pm @ 131
How does information emerge, spread and vanish in society and online? What do the structure, functioning and dynamics of networks imply for constructing and managing teams and organizations, gaining access to resources and knowledge, protecting critical infrastructures and individual reputation, fostering innovation, and designing and implementing policies? Learn how to answer these questions in 590NA.
Network Analysis has become a widely adopted approach for studying the interactions between social agents, information and infrastructures. The strong demand for solid expertise and skills in network analysis has been fueled by the widespread acknowledgement that everything is connected, the popularity of social networking services, and advances in computational solutions for collecting, visualizing and analyzing network data.
This interdisciplinary course introduces students to fundamental theories, concepts, methods and applications of network analysis. Students learn how to approach network analysis in an informed, systematic and analytically rigorous fashion. At the end of the course, students will be able to design, manage and execute network analysis projects for scholarly and commercial use, and to critically assess network studies.
No prerequisites, no programming skills required.