Social Networks

Course Description

The course offers students the opportunity to acquire knowledge and skills in the interdisciplinary field of social networks. Social networks are not only the most popular service based on the Internet infrastructure, but also a true global phenomenon that greatly affects the modern way of life and doing business. Students will acquire theoretical knowledge about the structure and processes in social networks, as well as practical knowledge and skills about application of social networks or achieving individual user or business goals.

General Competencies

After successfully passing the course, the student will be able to: - explain the role and importance of social networks in today's society; - distinguish between social networks with respect to their structural properties and processes that occur in them; - use appropriate methods and tools for analysis of social networks; - apply social networks to achieve individual user or business goals; - design information and communication systems based on social networks.

Learning Outcomes

  1. explain the role and importance of social networks in today's society
  2. distinguish between social networks with respect to their structural properties and processes that occur in them
  3. differentiate methods for analysis of social networks
  4. use appropriate tools for analysis of social networks
  5. apply social networks to achieve individual user or business goals
  6. design information and communication systems based on social networks

Forms of Teaching

Lectures

Lectures, with course material and presentation uploaded in advance on the web.

Exams

Mid-term exam and final exam.

Laboratory Work

Complex laboratory excercises that include programming based on social networks and use of tools for analyzing social networks.

Consultations

Regular weekly consultations.

Seminars

Writing a seminar on a selected topic in the field of social networking.

Acquisition of Skills

Searching the literature on social networking. Modeling and analysis of social and economic phenomena and indicators in tools for analyzing social networks.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 30 % 0 % 30 %
Class participation 0 % 5 % 0 % 5 %
Seminar/Project 0 % 50 % 0 % 50 %
Attendance 0 % 5 % 0 % 5 %
Mid Term Exam: Written 0 % 5 % 0 %
Final Exam: Oral 5 %
Exam: Oral 10 %

Week by Week Schedule

  1. Social networks: definition, examples, historical development
  2. Social networks based on information and communication technology: a review of the most important social networks today
  3. Role and significance of social networks in today's society
  4. User profiles in social networks
  5. Programming based on social networks (part 1)
  6. Programming based on social networks (part 2)
  7. Social network analysis: methods, metrics and tools (part 1)
  8. Social network analysis: methods, metrics and tools (part 2)
  9. Practical applications of social network analysis (part 1)
  10. Practical applications of social network analysis (part 2)
  11. Types of social networks: typical ways of formation and associated metrics (part 1)
  12. Types of social networks: typical ways of formation and associated metrics (part 2)
  13. Processes in social networks: information dissemination, learning and games based on social networks
  14. Marketing based on social networks
  15. Recommender systems based on social networks

Study Programmes

University graduate
Computer Engineering (profile)
Recommended elective courses (3. semester)
Information Processing (profile)
Recommended elective courses (3. semester)
Software Engineering and Information Systems (profile)
Recommended elective courses (3. semester)
Telecommunication and Informatics (profile)
Recommended elective courses (3. semester)

Literature

Matthew O. Jackson (2010.), Social and Economic Networks, Princeton University Press
Alain Barrat, Marc Barthelemy, Alessandro Vespigiani (2011.), Dynamical Processes on Complex Networks, CambridgeUniversity Press
Nahed A. Azab (2012.), Cases on Web 2.0 in Developing Countries: Studies on Implementation, Application, and Use, IGI Global
Jennnifer Golbeck (2013.), Analyzing the Social Web, Morgan Kaufmann
Ajith Abraham (2012.), Computational Social Networks: Mining and Visualization, Springer

Associate Lecturers

Laboratory exercises

General

ID 127206
  Winter semester
4 ECTS
L3 English Level
L1 e-Learning
30 Lectures
0 Exercises
6 Laboratory exercises
0 Project laboratory

Grading System

85 Excellent
75 Very Good
65 Good
55 Acceptable