Social Network Analysis: Advanced Level

2022/2023

Учебный год

ENG

Обучение ведется на английском языке

5

Кредиты

Кто читает:

Департамент социологии

Статус:

Курс по выбору

Когда читается:

4-й курс, 1, 2 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 & centralization
• Cohesion
• Ego-networks & structural holes
• Community structure
• Equivalent positions & block-modelling
• Multiplex & two-mode networks
• Statistics & modelling in SNA

Assessment Elements

• Final exam
  form of a written research report discussing network measures & their interpretations
• Discussion
• Seminar1 grade
  home reading presentations during classes & class discussions
• Seminar2 grade
  seminar project presentations

Interim Assessment

• 2022/2023 2nd module
  0.2 * Final exam + 0.29 * Seminar2 grade + 0.29 * Seminar1 grade + 0.22 * Discussion

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