Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
DMP0006		Social Network Analysis	1/1/0	DE	Turkish	2

Course Goals	Using social network analysis methods to provide useful information about social media and information networks currently available on the Internet
Prerequisite(s)
Corequisite(s)
Special Requisite(s)
Instructor(s)	xx
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques	Interactive learning methods, class discussions are used
Principle Sources	- Tunalı,Volkan. Sosyal Ağ Analizine Giriş, Nobel Akademik Yayıncılık, 2016. - Gürsakal, Necmi. Sosyal Ağ Analizi. Dora Yayıncılık, 2009.
Other Sources

Course Schedules
Week	Contents	Learning Methods
1. Week	Introduction to the course	Verbal Lecture, Sampling, Presentations
2. Week	Social media and information networks	Verbal Lecture, Sampling, , Presentations
3. Week	General concept of social media analysis	Verbal Lecture, Sampling, , Presentations
4. Week	Social media communities	Verbal Lecture, Sampling, , Presentations
5. Week	Random Network models	Verbal Lecture, Sampling, , Presentations
6. Week	Network hub and network prestige	Verbal Lecture, Sampling, , Presentations
7. Week	Midterm exam	Midterm exam
8. Week	Independence from scale and force law	Verbal Lecture, Sampling, , Presentations
9. Week	Small world network models, vision formation in virtual environment	Verbal Lecture, Sampling, , Presentations
10. Week	Applications of social network analysis	Verbal Lecture, Sampling, , Presentations
11. Week	Network criteria: centrality, clustering coefficient, holistic network criteria	Verbal Lecture, Sampling, , Presentations
12. Week	Network visualization, network analysis, network types	Verbal Lecture, Sampling, , Presentations
13. Week	NodeXL and Pajek	Verbal Lecture, Sampling, , Presentations
14. Week	NodeXL and Pajek	Verbal Lecture, Sampling, , Presentations
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	40
Final Exam	1	60

Program Outcomes PO-1 To have theoretical and practical knowledge about Digital Media and Marketing PO-2 To be able to think critically, free, original and creative, to be able to produce PO-3 To be able to relate different areas of communication with each other, develop strategies, create interaction PO-4 To have detailed knowledge about internet sites, mobile marketing, digital advertising, digital media planning, social media, digital analysis and measurement and to have professional application skills PO-5 To have knowledge and application of data literacy and data management PO-6 To be able to master changing communication strategies and technologies and manage processes PO-7 To be able to produce content, present and manage skills within the scope of communication studies PO-8 To be aware of the responsibilities and ethical obligations required by the profession and to act within the rules PO-9 In working life; to be an efficient, productive and responsible individual in team work, to gain practical problem solving skills in business life problems PO-10 To be able to follow the speed of the digital age and keep the information about the field constantly updated

Learning Outcomes LO-1 Define the basic concepts of social networks LO-2 To explain the theories and models of networks. LO-3 To gain the ability to find and extract information from the data stack on social media and information networks. LO-4 To gain ability to analyze, visualize and find communities on social networks.

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10