| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Social Media Analysis | YZM432 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Assistant Prof. Dr. İrfan KÖSESOY
Learning Outcomes of the Course Unit
1) Social Network Analysis concepts will be learned.
2) Social Network Analysis skills will be acquired to extract knowledge from Online Social Networks.
3) Social Network data will be analyzed, visualized and the skills to locate social communities will be gained.
4) Providing the ability to find communities on social networks.
5) Application development on social networks
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | Middle | No relation | No relation | No relation | Low | Low | No relation | No relation | No relation | Middle | No relation | |
| 2 | High | Middle | No relation | No relation | No relation | Low | Low | No relation | No relation | No relation | Middle | No relation | |
| 3 | High | Middle | No relation | No relation | No relation | Low | Low | No relation | No relation | No relation | Middle | No relation | |
| 4 | High | Middle | No relation | No relation | No relation | Low | Low | No relation | No relation | No relation | Middle | No relation | |
| 5 | Middle | High | Middle | High | Middle | Middle | Low | No relation | No relation | Middle | Middle | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Social Network Analysis Conceptes (nodes, edges, adjacency matrix, one and two-mode networks, node degree); Random network models; Network centrality (betweenness, closeness, eigenvector centrality, network centralization); Social Community (Concepts: clustering, community structure, modularity, overlapping communities); Small world network models, optimization, strategic network formation and search; Contagion, opinion formation, coordination and cooperation; Applications of Social Network Analysis; Online Social Networks
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required