Магистратура
2021/2022
Социальные сети
Статус:
Курс по выбору (Цифровые методы в гуманитарных науках)
Направление:
45.04.03. Фундаментальная и прикладная лингвистика
Кто читает:
Школа лингвистики
Где читается:
Факультет гуманитарных наук
Когда читается:
2-й курс, 2, 3 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Сорокин Семен Александрович
Прогр. обучения:
Цифровые методы в гуманитарных науках
Язык:
английский
Кредиты:
4
Контактные часы:
32
Course Syllabus
Abstract
The course "Social Networks" introduces students to the new interdisciplinary field of research. Emerged in sociology, the theory of social networks in recent years, has attracted considerable interest of economists, mathematicians, physicists, experts in data analysis, computer engineers. Initially, researches focused on the study of social networks, i.e. sets of links connecting the social actors in accordance with their interaction. Nowadays, the study of actors’ relations includes economic, financial, transport, computer, language and many other networks. The course examines the methods of analyzing the structure of networks, model of their emergence and development, and the processes occurring in networks.
Learning Objectives
- Цель освоения дисциплины — познакомить с методом сетевого анализа и теорией графов, научить пользоваться сетевым анализом для исследования культурных явления и объектов культуры.
Expected Learning Outcomes
- Be able to correctly selects appropriate model / method of network analysis for a given problem
- Be able to explore the advantages and disadvantages of various network analytic tools and methods
- Know the advantages and disadvantages of various network analytic tools and methods
- Know the basic principles of network analysis
- Know the major network modeling programs
- • To develop student familiarity, through hands-on experience, with the major network modeling pro-grams, so that they can use them and interpret their output.
- • To explore the advantages and disadvantages of various network analytic tools and methods, and demonstrate how they relate to other methods of analysis.
- • To provide students with an understanding of the basic principles of network analysis and lay the foundation for future learning in the area.
Course Contents
- Position Analysis in Social Networks
- Personal Ties and Social Support
- SNA methodology III
- Network Data, Matrices, Graphic Representation of Social Networks, and Basic Network Measures
- SNA methodology I
- SNA methodology II
- Introduction
Interim Assessment
- 2021/2022 3rd module0.5 * Исследовательский проект 2 + 0.5 * Исследовательский проект 1
Bibliography
Recommended Core Bibliography
- Carrington, P. J., Scott, J., & Wasserman, S. (2005). Models and Methods in Social Network Analysis. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=132264
Recommended Additional Bibliography
- Newman, M. (2010). Networks: An Introduction. Oxford University Press, 2010