Social Network Analysis

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

5

Кредиты

Кто читает:

Департамент социологии

Статус:

Курс по выбору

Когда читается:

2-й курс, 4 модуль

Course Syllabus

Abstract

The course is basic course in social network analysis with special attention to exemplary empirical studies, including intra-organizational networks, creative networks, criminal networks, networks of political mobilizations etc.

Learning Objectives

• receive an overview of exemplary empirical studies designed with SNA methodology

Expected Learning Outcomes

• abilities (a) to apply methods of social network analysis to sociological data and (b) develop research design within social network analysis framework

Course Contents

• Basic concepts of social network analysis
• Centrality and centralization
• Cohesion
• Ego-networks
• Community structure
• Equivalent positions and block-modelling
• Multiplex and two-mode networks
• Statistics and modelling in SNA

Assessment Elements

• Seminar
  To successfully participate in seminars, students are expected to present a collective project during class (10 minutes for the presentation).
• Exam
  A written research report discussing network measures & their interpretations. If any answers are suspected of plagiarism, the student may face additional questions from the full exam set during the feedback session.
• Colloquium
  Students are presented with research outputs and are required to interpret observed measures.
• Discussion
  Students must formulate critical questions for their classmates' projects. These questions should demonstrate a student’ s ability to apply the theory from the mandatory readings to the empirical cases discussed by the presenting group. A student needs to ask one question during 75% of all seminars in the given semester to receive a grade of “10.”If a student participates in less than 75% of the classroom discussions, they receive a grade proportional to the number of participations. For example, if a student participates in 15 out of 20 discussions, they receive a grade of “10.”If a student participates in 7 out of 20 discussions, they receive a grade of “5.” "Bonus points can be earned by answering the professor’s questions during lectures.

Interim Assessment

• 2026/2027 4th module
  0.2 * Exam + 0.22 * Discussion + 0.29 * Seminar + 0.29 * Colloquium

Bibliography

Recommended Core Bibliography

• Luke, D. A. (2015). A User’s Guide to Network Analysis in R. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1114415

Recommended Additional Bibliography

• Etaner-Uyar, A. S., & Gündüz-Ögüdücü, S. (2014). Social Networks: Analysis and Case Studies. Wien: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=812923

Authors

• Safonova Mariia Andreevna