Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
SOCIAL NETWORK ANALYSIS	AYBS202	4. Semester	0 + 0	0	5.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Bachelor's Degree
Course Type	Compulsory
Mode of delivery
Course Coordinator
Instructors	ANKUZEF ANKUZEF
Assistants
Goals	The purpose of Social Network Analysis is to analyze the relationships between phenomena such as people, information, events and places on Social Media Networks, to analyze this collection of relationships as a network, to find useful information and to help explain the situations on social networks based on this information. Using Social Network Analysis methods (both theory and computational tools), this course will help to extract meaningful information about social media and information networks that can be accessed via the internet today.
Course Content	Social Network Analysis Concepts (nodes, relationships, neighborhood matrices, node degrees etc.); Random Network Models; Network Centrality; Network Prestige (Network Prestige); Virtual Community Concepts (virtual community structures, clustering in virtual communities, etc.); Small World Network Models; Opinion formation, coordination and cooperation in Virtual Environment, Applications of Social Network Analysis; Today's Social Media Networks (Online Social Networks)
Learning Outcomes	1) It will gain knowledge and skills to learn and apply the basic concepts of Social Media and Information Network Analysis. 2) It will gain the ability to find and extract information from data stacks on Social Media and Information Networks. 3) It will gain the ability to analyze, visualize and find communities on social networks.