Information Package
baskent.edu.tr

Program of Public Relations and Publicity

PRP447

SOCIAL MEDIA AND NETWORK ANALYSIS

Course Code
PRP447
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Know the theories of social network analysis .
  2. Can define social media processes.
  3. Can develop social network analysis models and applications in social media.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course focuses on making sense of social relations with network analysis and evaluating them. Social Network Analysis (SNA) is based on modeling a number of analytical methods and theories and relationships between actors. Social networks play an important role in solving problems between people. In this course, it allows participants to evaluate the structure and dynamics of networks within the framework of communication theories. In addition, competence is developed in order to evaluate the effects of social media, to campaign on a social issue and to produce content using new media technologies.
Course Contents
WEEK TOPICS
1st Week Introduction To Social Network Analysis Theory
2nd Week Social Media And Information Networks Concepts: Nodes, Relationships, Adjusting Matrix, Node Degree
3rd Week Social Networking Models
4th Week Network Centrality And Metrics: Bridge, Closeness, Prestige, Eigenvector Centrality, Network Centrality
5th Week Social Media Communities: Virtual Community Structures, Clustering İn Virtual Communities
6th Week Small World Network Models
7th Week Virtual Vision Formation, Coordination And Cooperation
8th Week Midterm Exam
9th Week Applications Of Social Network Analysis
10th Week Student Presentations
11th Week Student Presentations
12th Week Student Presentations
13th Week Student Presentations
14th Week Final
Recommended or Required ReadingMark Newman (2010) Networks: An Introduction, Oxford University Press.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R. ve Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.
Golbeck, J. (2013). Analyzing the social web. Amsterdam: Morgan Kaufmann.
John Scott (2000) Network Analysis: A Handbook. Second Edition. Newbury Park CA: Sage.
Charles Kadushin (2011) Understanding Social Networks: Theories, Concepts and Findings, First Edition. Oxford University Press.
Stanley Wasserman and Katherine Faust (1994) Social Network Analysis: Methods and Applications. First Edition. Cambridge University Press.
Tom Valente (2010) Social Networks and Health: Models, Methods and Applications, First Edition. Oxford University Press

All the other papers stated in syllabus
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Report Preparation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 2 30
Attendance 14 10
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 40 40
Laboratory (including preparation)
Final exam 1 2 2
Homework 2 15 30
Total Work Load156
Total Work Load / 30 (h)5.2
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No

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