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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Open and Distance Learning
  3. Non-Thesis Master’s Degree in Open and Distance Learning
  4. Non-Thesis Master’s Degree in Measurement and Data Analytics (Distance Education)
  5. Course Structure Diagram with Credits
  6. Social Network Analysis
  7. Description
  • Description
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İLT557 - Social Network Analysis I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. DENİZ KARAGÖZ
Mode of Delivery Distance learning
Place of Delivery
Used Educational Platforms
Prerequisites -
Courses Recomended -
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Network Science
Week - 2 Basic Concepts of Social Networking
Week - 3 Visualization of networks as graphs, sets and matrices
Week - 4 Network Types
Week - 5 Descriptive Network Analysis (Density, Centrality measures)
Week - 6 Network Communities, Network Structure and Visualization
Week - 7 Innovation Distribution
Week - 8 Data Ethics
Week - 9 Collecting Social Network Data
Week - 10 Analysis I
Week - 11 Analysis II
Week - 12 Analysis III
Week - 13 Midterm Exam
Week - 14 Final exam

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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