Academic Catalog


Course Code: 9010585
METU Credit (Theoretical-Laboratory hours/week): 3(3-0)
ECTS Credit: 8.0
Language of Instruction: English
Level of Study: Graduate
Course Coordinator: Prof.Dr. BANU GNEL KILI
Offered Semester: Fall and Spring Semesters.

Course Content

Social network analysis is a core methodolgy utilising graph theory, algebra, statistics, sociometry and psychometry for a diverse field of applications. This course is intended to introduce to students how to extract information contained in a network to measure and characterize them, different types of networks, creating models of networks and predicting their behaviour. Most commonly used GUI-based software tools for measuring and displaying network data will also be introduced. the course will also focus on specific applications of the network analysis in epidemiology, surveillance, marketing, healthcare, collective intelligence, spread of new ideas and social computing.