| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP5132 | Social Network Analysis | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi TEVFİK AYTEKİN |
| Course Lecturer(s): |
Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR |
| Course Objectives: | The objective of the course is to explain students with the basic social network analysis terminology, introduce software tools for network visualization, and teach various analysis techniques on social network data. |
|
The students who have succeeded in this course; Upon completion of this course students will be able to - explain basic concepts and terminology of social network analysis, - visualize networks using software tools. - perform empirical investigations of network data. - analyze the structure and evolution of networks. - use social network analysis in their own research. |
| Basic network concepts; properties of real networks; models of network formation; random network models; preferential attachment; centrality; community structure; disjoint and overlapping communities; detecting communities; contagion and opinion formation; network games; network resilience. |
| Week | Subject | Related Preparation | |
| 1) | Introduction to social networks | ||
| 2) | Introduction to networks | ||
| 3) | Software tools for network analysis and visualization | ||
| 4) | Models of network formation | ||
| 5) | Network Centrality | ||
| 6) | Community Structure | ||
| 7) | Community Structure | ||
| 8) | Midterm Exam | ||
| 9) | Small world network models | ||
| 10) | Contagion and opinion formation | ||
| 11) | Contagion and opinion formation | ||
| 12) | Network games | ||
| 13) | Network resilience | ||
| 15) | Student project presentations | ||
| 16) | Student project presentations | ||
| Course Notes: | Lecture Notes / Ders Notları |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | 5 | % 15 |
| Presentation | 1 | % 10 |
| Project | 1 | % 15 |
| Seminar | % 0 | |
| Midterms | 1 | % 20 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 45 | |
| PERCENTAGE OF FINAL WORK | % 55 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class | |||
| Presentations / Seminar | |||
| Project | 12 | 48 | |
| Homework Assignments | 12 | 60 | |
| Quizzes | |||
| Preliminary Jury | |||
| Midterms | 3 | 15 | |
| Paper Submission | |||
| Jury | |||
| Final | 5 | 25 | |
| Total Workload | 190 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |