SM530 SOCIAL NETWORK ANALYSIS
| Course Code: |
9050530 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(0-0) |
| ECTS Credit: |
8.0 |
| Department: |
Software Management |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
|
| Offered Semester: |
Fall or Spring Semesters. |
Course Content
Social network analysis is a core methodology 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 marketing, management, epidemiology, healthcare, collective intelligence, spread of new ideas and social computing.
