Бакалавриат
2023/2024
Исследование социальных сетей
Лучший по критерию «Новизна полученных знаний»
Статус:
Курс по выбору (Социология и социальная информатика)
Направление:
39.03.01. Социология
Кто читает:
Департамент социологии
Где читается:
Санкт-Петербургская школа социальных наук
Когда читается:
2-й курс, 4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Язык:
английский
Кредиты:
5
Контактные часы:
40
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.
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
- Seminar1 gradehome reading presentations during classes & class discussions
- Final examform of a written research report discussing network measures & their interpretations
- Seminar2 gradeseminar project presentations
- Discussion
Interim Assessment
- 2023/2024 4th module0.29 * Discussion + 0.2 * Final exam + 0.22 * Seminar1 grade + 0.29 * Seminar2 grade
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