Social Network Analysis

2024/2025

Academic Year

RUS

Instruction in Russian

3

ECTS credits

Delivered at:

Department of Sociology

Course type:

Elective course

When:

1 year, 4 module

Instructor

Safonova, Maria

Программа дисциплины

Аннотация

This course will introduce students to social media analysis and approaches to studying the dynamics of human behavior through the study of social media. The course begins by introducing the basic concepts and motives for modeling social phenomena as a network. Then the characteristics of social networks are considered: connectedness, resilience, centrality and density of networks. Students then move on to study the evolution of social networks, which leads to the question of analyzing the variability of collective behavior. Specific examples will be considered of how social networks can influence social change (the growth of social movements, changes in cultural norms, etc.)

Цель освоения дисциплины

• Understanding basic concepts of social network analysis, Understanding how networks can contribute to the explanation of specific social, political, economic and cultural phenomena, Mastering basic skills of working with SNA software Gephi, Pajek, R packages, Acquaintance with biblographic network analysis software VosViewer, CitNetExplorer

Планируемые результаты обучения

• Able to evaluate and revise learned scientific methods and methods of activity.
• Able to independently master new research methods, change the scientific and production profile of their activity.
• Able to retrieve data from open statistical databases, archives, and other public sources.

Содержание учебной дисциплины

• Что такое сетевая наука и зачем она нужна

Элементы контроля

• Discussion
• Final exam
  a written research report discussing network measures & their interpretations
• Seminar grade
  home reading presentations during classes & class discussions

Промежуточная аттестация

• 2024/2025 4th module
  0.29 * Discussion + 0.42 * Final exam + 0.29 * Seminar grade

Список литературы

Рекомендуемая основная литература

• Scott, J. (DE-588)132315661, (DE-576)299070239. (2009). Social network analysis : a handbook / John Scott. Los Angeles [u.a.]: Sage. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.307646734

Авторы

• Сафонова Мария Андреевна