Political Science 753 - Political Network Analysis

This is a course on network analysis. The study of networks across the sciences has exploded recently. In this course, we will cover network scientific theory as it applies to the social sciences, network data collection and management, network visualization and description; and methods for the statistical analysis of networks. The course will make extensive use of real-world applications and students will gain a thorough background in the use of network analytic software. Most of the applications discussed will be drawn from political science, but this course will be relevant to anyone interested in network analytic research.

Undergraduates who have taken POLISCI 328, LEGAL 393E or have experience in R may contact the instructor to receive permission to enroll in this graduate course.

This course will fulfill a technical elective requirement for MS in Data Analytics and Computational Social Science.

For interested DACSS students: This course assumes a working knowledge of R. If you do not have a strong background in R (e.g., have not already taken and passed DACSS 601 Data Science Fundamentals or an equivalent), please contact the instructor to discuss strategies for preparing for this course.

Students will meet on Tuesdays with POLISCI 753-01.