| Language of Instruction |
Türkçe |
| Course Type |
Area Elective Courses |
| Course Instructor(s) |
PROF. DR. ALPER TOLGA KUMTEPE |
| Mode of Delivery |
Face to face |
| Prerequisites |
Basic Mathematical Knowledge |
| Courses Recomended |
Basic Mathematical Knowledge |
| Recommended Reading List |
It will be announced later. |
| Assessment methods and criteria |
1 midterm exam, 1 final exam |
| Work Placement |
N/A |
| Catalog Content |
The course provides an advanced, end-to-end view of social network analysis: network centrality measures; network visualization techniques; social network data collection methods; Exponential Random Graph Models (ERGM); community detection algorithms; actor-oriented models; longitudinal and multilevel network analysis; network dynamics and evolution; influence and diffusion; network robustness and resilience; network sampling techniques; network-based machine learning; ethics and privacy; advanced applications and case studies. |
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